Research Topics
| P C AustinSummaryAffiliation: Institute for Clinical Evaluative Sciences Country: Canada Publications
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Detail Information
Publications
Comparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: should we be analyzing cardiovascular outcomes data differently?Peter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Am Heart J 145:27-35. 2003..Furthermore, imputing characteristics measured at higher levels of the hierarchy to the patient-level artificially inflates the amount of available information on the effect of higher-level characteristics on outcomes...
Generating survival times to simulate Cox proportional hazards models with time-varying covariatesPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Stat Med 31:3946-58. 2012..This is compared with the statistical power to detect as statistically significant a binary time-invariant covariate...
Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variablePeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
BMC Med Res Methodol 12:82. 2012..When outcomes are binary, the c-statistic (equivalent to the area under the Receiver Operating Characteristic curve) is a standard measure of the predictive accuracy of a logistic regression model...
Comparative ability of comorbidity classification methods for administrative data to predict outcomes in patients with chronic obstructive pulmonary diseasePeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Ann Epidemiol 22:881-7. 2012..Our objective was to compare the ability of the Charlson index, the Elixhauser method, and the Johns Hopkins' Aggregated Diagnosis Groups (ADGs) to predict outcomes in patients with COPD...
Regression trees for predicting mortality in patients with cardiovascular disease: what improvement is achieved by using ensemble-based methods?Peter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Biom J 54:657-73. 2012....
Using the Johns Hopkins' Aggregated Diagnosis Groups (ADGs) to predict 1-year mortality in population-based cohorts of patients with diabetes in Ontario, CanadaP C Austin
Institute for Clinical Evaluative Sciences, University of Toronto, Ontario, Canada
Diabet Med 29:1134-41. 2012..The objective was to examine the ability of the Johns Hopkins' Aggregated Diagnosis Groups to predict mortality in population-based ambulatory samples of both incident and prevalent subjects with diabetes...
Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a population-based cohort of adults with schizophrenia in Ontario, CanadaPeter C Austin
Institute for Clinical Evaluative Sciences, University of Toronto, Toronto, Ontario, Canada
Psychiatry Res 196:32-7. 2012..845 and 0.836 in the derivation and validation samples, respectively. Furthermore, the model demonstrated very good calibration...
Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analysesPeter C Austin
Institute for Clinical Evaluative Sciences, Canada
Int J Biostat 5:Article 13. 2009..Finally, accounting for the matched nature of the sample resulted in estimates of standard error that more closely reflected the sampling variability of the treatment effect compared to when matching was not taken into account...
Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studiesPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
Pharm Stat 10:150-61. 2011..When all of the covariates were binary, then the choice of caliper width had a much smaller impact on the performance of estimation of risk differences and differences in means...
The performance of different propensity-score methods for estimating relative risksPeter C Austin
Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
J Clin Epidemiol 61:537-45. 2008..Conditioning on the propensity-score results in unbiased estimation of the expected difference in observed responses to two treatments. The performance of propensity-score methods for estimating relative risks has not been studied...
Bayes rules for optimally using Bayesian hierarchical regression models in provider profiling to identify high-mortality hospitalsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario
BMC Med Res Methodol 8:30. 2008..Several researchers have shown that some degree of misclassification will result when hospital report cards are produced. The impact of misclassifying hospital performance can be quantified using different loss functions...
Pisces did not have increased heart failure: data-driven comparisons of binary proportions between levels of a categorical variable can result in incorrect statistical significance levelsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
J Clin Epidemiol 61:295-300. 2008....
A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003Peter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
Stat Med 27:2037-49. 2008..We provide guidelines for the analysis and reporting of studies that employ propensity-score matching...
Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvementPeter C Austin
Institute for Clinical Evaluative Sciences, the Department of Public Health Sciences, University of Toronto, Ontario, Canada
J Thorac Cardiovasc Surg 134:1128-35. 2007..I conducted a systematic review of the use of propensity score matching in the cardiovascular surgery literature. I examined the adequacy of reporting and whether appropriate statistical methods were used...
Bootstrap model selection had similar performance for selecting authentic and noise variables compared to backward variable elimination: a simulation studyPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
J Clin Epidemiol 61:1009-17.e1. 2008..The performance of this method for identifying predictor variables has not been examined...
Using the bootstrap to improve estimation and confidence intervals for regression coefficients selected using backwards variable eliminationPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
Stat Med 27:3286-300. 2008..We illustrate the utility of our method by applying it to a large sample of subjects hospitalized with a heart attack...
A comparison of the statistical power of different methods for the analysis of cluster randomization trials with binary outcomesPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
Stat Med 26:3550-65. 2007..02. The largest observed difference in power between two different statistical methods across the 240 scenarios and 15 pair-wise comparisons of methods was 0.14...
The performance of different propensity score methods for estimating marginal odds ratiosPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Stat Med 26:3078-94. 2007..8 to 59.2 per cent. For both methods, relative bias was proportional to the true odds ratio. Finally, matching on the propensity score tended to result in estimators with the lowest MSE...
A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortalityPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
Stat Med 26:2937-57. 2007..However, the logistic regression model had performance comparable to that of more flexible, data-driven models such as GAMs and MARS...
A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin usePeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Stat Med 25:2084-106. 2006..5 per cent, while estimates of the relative risk reduction ranged from 13.3 to 17.0 per cent. Adjusted estimates of the reduction in the odds of 3-year death varied from 15 to 24 per cent across the different propensity score methods...
Missed opportunities in the secondary prevention of myocardial infarction: an assessment of the effects of statin underprescribing on mortalityPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Am Heart J 151:969-75. 2006..We explored the potential reduction in mortality at the population level that could result from improving statin prescribing among patients least likely to be prescribed a statin after acute myocardial infarction (AMI)...
How many "Me-Too" drugs are enough? The case of physician preferences for specific statinsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Canada
Ann Pharmacother 40:1047-51. 2006..The increasing availability of "Me-Too" drugs has provided considerable treatment options for clinicians. However, the number of such drugs within a class that are actually used by clinicians has not been well studied...
A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo studyPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
Stat Med 26:734-53. 2007..Finally, the mean squared error for estimating a null treatment effect was lower when either of the first two propensity scores was used compared to when either of the last two propensity score models was used...
Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo studyPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
Stat Med 26:754-68. 2007..In several settings with non-linear treatment effects, marginal and conditional treatment effects do not coincide...
Testing multiple statistical hypotheses resulted in spurious associations: a study of astrological signs and healthPeter C Austin
Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario, M4N 3M5 Canada
J Clin Epidemiol 59:964-9. 2006..To illustrate how multiple hypotheses testing can produce associations with no clinical plausibility...
The impact of unmeasured clinical variables on the accuracy of hospital report cards: a Monte Carlo studyPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Med Decis Making 26:447-66. 2006..Hospital report cards are commonly produced using administrative data. The objective of this study was to determine the impact of unmeasured clinical data on the accuracy of hospitals' report cards...
Quantifying the impact of survivor treatment bias in observational studiesPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
J Eval Clin Pract 12:601-12. 2006..Survivor treatment bias can arise when the time dependent nature of treatment exposure is ignored since patients who survived to receive treatment may be healthier than patients who died prior to receipt of treatment...
R and S-PLUS produced different classification trees for predicting patient mortalityPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
J Clin Epidemiol 61:1222-6. 2008..Both R and S-PLUS allow users to fit classification and regression trees. The objective was to compare classification trees grown using R with those grown using S-PLUS...
Comparing clinical and administrative data for profiling hospitals on postdischarge medication use by patients with acute myocardial infarctionPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Am Heart J 156:595-605. 2008..We determined the concordance between hospital-specific prescribing rates of evidence-based medical therapies obtained from clinical and administrative data in Ontario, Canada...
Use of evidence-based therapies after discharge among elderly patients with acute myocardial infarctionPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont
CMAJ 179:895-900. 2008..We examined trends in the use of evidence-based drug therapies after discharge among elderly patients with myocardial infarction...
Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario, CanadaPeter C Austin
Institute for Clinical Evaluative Sciences, Department of Health Management, Policy and Evaluation, University of Ottawa, Ottawa, Ontario, Canada
Med Care 49:932-9. 2011..There are limited validated methods for risk adjustment in ambulatory populations using administrative healthcare databases...
Comparing paired vs non-paired statistical methods of analyses when making inferences about absolute risk reductions in propensity-score matched samplesPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
Stat Med 30:1292-301. 2011..We recommend using statistical methods for paired samples when using propensity-score matched samples for making inferences on the effect of treatment on the reduction in the probability of an event occurring...
Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity scorePeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Am J Epidemiol 172:1092-7. 2010..The authors recommend that, in most settings, researchers match either 1 or 2 untreated subjects to each treated subject when using propensity-score matching...
Logistic regression had superior performance compared with regression trees for predicting in-hospital mortality in patients hospitalized with heart failurePeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
J Clin Epidemiol 63:1145-55. 2010..To compare the predictive accuracy of regression trees with that of logistic regression models for predicting in-hospital mortality in patients hospitalized with heart failure...
The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studiesPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
Stat Med 29:2137-48. 2010..Differences between IPTW and propensity-score matching may reflect that these two methods estimate the average treatment effect and the average treatment effect for the treated, respectively...
Primer on statistical interpretation or methods report card on propensity-score matching in the cardiology literature from 2004 to 2006: a systematic reviewPeter C Austin
Institute for Clinical Evaluative Sciences, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M4N 3M5, Canada
Circ Cardiovasc Qual Outcomes 1:62-7. 2008..The study objective was to examine the quality of the implementation of propensity-score matching in the general cardiology literature...
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samplesPeter C Austin
Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario, Canada M4N 3M5
Stat Med 28:3083-107. 2009..In particular, methods based on comparing the distribution of the estimated propensity score between treated and untreated subjects are uninformative...
A substantial and confusing variation exists in handling of baseline covariates in randomized controlled trials: a review of trials published in leading medical journalsPeter C Austin
Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
J Clin Epidemiol 63:142-53. 2010..Furthermore, some have advocated for the use of regression adjustment to estimate the effect of treatment after adjusting for potential imbalances in prognostically important baseline covariates between treatment groups...
The relative ability of different propensity score methods to balance measured covariates between treated and untreated subjects in observational studiesPeter C Austin
Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario, M4N 3M5 Canada
Med Decis Making 29:661-77. 2009..In the Monte Carlo simulations, propensity score matching tended to have either comparable or marginally superior performance compared with propensity-score weighting...
Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomesPeter C Austin
Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
J Clin Epidemiol 63:46-55. 2010..The resultant hazard ratio is a relative measure of effect that provides limited clinical information...
Are (the log-odds of) hospital mortality rates normally distributed? Implications for studying variations in outcomes of medical carePeter C Austin
Institute for Clinical Evaluative Sciences, Department of Public Health Sciences, University of Toronto, Toronto, ON, Canada
J Eval Clin Pract 15:514-23. 2009..These models frequently assume a normal distribution for the provider-specific random effects. The appropriateness of this assumption for examining variations in health care outcomes has never been explicitly tested...
The concept of the marginally matched subject in propensity-score matched analysesPeter C Austin
Institute for Clinical Evaluative Sciences, Ontario, Canada
Pharmacoepidemiol Drug Saf 18:469-82. 2009..The concept of the marginally matched subject can be used as a sensitivity analysis to examine the impact of the matching method on the estimates of treatment effectiveness...
Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression modelPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario M4N 3M5, Canada
J Clin Epidemiol 63:2-6. 2010..Several authors have suggested that for dichotomous outcomes, RRs, RR reductions, absolute risk reductions, and the number needed to treat (NNT) are more clinically meaningful measures of treatment effect...
Some methods of propensity-score matching had superior performance to others: results of an empirical investigation and Monte Carlo simulationsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
Biom J 51:171-84. 2009..2 of the standard deviation of the logit of the propensity score and the use of calipers of width 0.02 and 0.03 tended to have superior performance for estimating treatment effects...
Assessing balance in measured baseline covariates when using many-to-one matching on the propensity-scorePeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Pharmacoepidemiol Drug Saf 17:1218-25. 2008..We illustrate our methods using a large sample of patients discharged from hospital with a diagnosis of a heart attack (acute myocardial infarction). The exposure was receipt of a prescription for a statin at hospital discharge...
Goodness-of-fit diagnostics for the propensity score model when estimating treatment effects using covariate adjustment with the propensity scorePeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Pharmacoepidemiol Drug Saf 17:1202-17. 2008..We illustrate our methods using a large dataset of patients discharged from hospital with a diagnosis of a heart attack (acute myocardial infarction). The exposure was receipt of a prescription for a beta-blocker at hospital discharge...
Factors associated with the use of evidence-based therapies after discharge among elderly patients with myocardial infarctionPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ont
CMAJ 179:901-8. 2008..Our objective was to identify the characteristics of patients, physicians, hospitals and communities associated with differences in the use of these medications after discharge...
The mortality risk score and the ADG score: two points-based scoring systems for the Johns Hopkins aggregated diagnosis groups to predict mortality in a general adult population cohort in Ontario, CanadaPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Med Care 49:940-7. 2011..Logistic regression models that incorporated age, sex, and indicator variables for the Johns Hopkins' Aggregated Diagnosis Groups (ADGs) categories have been shown to accurately predict all-cause mortality in adults...
The use of the propensity score for estimating treatment effects: administrative versus clinical dataPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario M4N 3M5, Canada
Stat Med 24:1563-78. 2005..Furthermore, measures of treatment effectiveness were attenuated when obtained using clinical data compared to when administrative data were used...
Bayeswatch: an overview of Bayesian statisticsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Canada
J Eval Clin Pract 8:277-86. 2002..It is noted that in this example, there are clinically relevant questions that are more easily addressed from a Bayesian perspective. Finally, areas in clinical research where Bayesian ideas are increasingly common are highlighted...
The use of quantile regression in health care research: a case study examining gender differences in the timeliness of thrombolytic therapyPeter C Austin
Institute for Clinical Evaluative Sciences, Canada
Stat Med 24:791-816. 2005..Investigators who want to determine how a distribution of delays in treatment or of waiting times changes with patient or system characteristics should consider complementing their analyses with the use of quantile regression...
The impact of the Women's Health Initiative study on incident clonidine use in Ontario, CanadaPeter C Austin
Institute of Clinical Evaluative Sciences, Department of Public Health Sciences, University of Toronto
Can J Clin Pharmacol 11:e191-4. 2004..There is some evidence that the antihypertensive agent clonidine can reduce the frequency of hot flashes associated with menopause...
A brief note on overlapping confidence intervalsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
J Vasc Surg 36:194-5. 2002..The purpose of this brief communication is to illustrate that the 95% confidence intervals for two means can overlap and yet the two means can be statistically significantly different from one another at the alpha = 0.05 level...
A comparison of methods for analyzing health-related quality-of-life measuresPeter C Austin
Institute for Clinical Evaluative Sciences, North York, Ontario M4N 3M5, Canada
Value Health 5:329-37. 2002..The authors examine the performance of three different models for assessing the relationship between demographic characteristics and health status...
Adverse effects of observational studies when examining adverse outcomes of drugs: case-control studies with low prevalence of exposurePeter C Austin
Institute for Clinical Evaluative Sciences, North York, Ontario, Canada
Drug Saf 25:677-87. 2002..The objective of the current study was to examine the bias inherent in the odds ratio assessing the association between exposure and an adverse outcome when prevalence of exposure in the source population is extremely low...
Inflation of the type I error rate when a continuous confounding variable is categorized in logistic regression analysesPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Canada
Stat Med 23:1159-78. 2004..Even when the confounder is divided in a five-level categorical variable, the inflation of the type I error rate remained high when both the sample size and the correlation between the risk factor and the confounder were high...
Quantile regression: a statistical tool for out-of-hospital researchPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Acad Emerg Med 10:789-97. 2003..The flexibility of quantile regression models makes them particularly well suited to out-of-hospital research, and they may allow for more relevant evaluation of out-of-hospital system performance...
A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in OntarioPeter C Austin
Institute for Clinical Evaluative Sciences, University of Toronto, Toronto, Ontario, Canada
Am Heart J 144:290-6. 2002..The goal of this study was to examine the accuracy of the coding of acute myocardial infarction and other cardiac diagnoses in the Canadian Institute of Health Information hospital discharge abstracts...
The use of fixed- and random-effects models for classifying hospitals as mortality outliers: a Monte Carlo assessmentPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Med Decis Making 23:526-39. 2003..There is an increasing movement towards the release of hospital "report-cards. "However, there is a paucity of research into the abilities of the different methods to correctly classify hospitals as performance outliers...
A comparison of several regression models for analysing cost of CABG surgeryPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
Stat Med 22:2799-815. 2003..The final choice of regression model should be made after a careful assessment of how best to assess predictive ability and should be tailored to the particular data in question...
Anxiety-related visits to Ontario physicians following September 11, 2001Peter C Austin
Institute for Clinical Evaluative Sciences, Department of Public Health Sciences, University of Toronto, Toronto, Ontario
Can J Psychiatry 48:416-9. 2003..To determine whether the climate of increased anxiety following the terrorist attacks of September 11, 2001, and the subsequent anthrax cases led to increased anxiety-related physician visits...
An introduction to multilevel regression modelsP C Austin
Institute for Clinical Evaluative Sciences, G 160, 2075 Bayview Avenue, North York, ON, M4N 3M5
Can J Public Health 92:150-4. 2001..In comparing the resultant models, we see that false inferences can be drawn by ignoring the structure of the data...
A comparison of Bayesian methods for profiling hospital performancePeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Med Decis Making 22:163-72. 2002....
Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortalityPeter C Austin
Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
J Clin Epidemiol 57:1138-46. 2004..The objective of this study was to determine the reproducibility of logistic regression models developed using automated variable selection methods...
Estimating linear regression models in the presence of a censored independent variablePeter C Austin
Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario, Canada M4N 3M5
Stat Med 23:411-29. 2004....
Impact of the choice of benchmark on the conclusions of hospital report cardsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Am Heart J 148:1041-6. 2004..The objective of the current study was to determine whether the number of hospitals identified as mortality outliers depended upon the benchmark against which hospitals are compared...
Impact of the pravastatin or atorvastatin evaluation and infection therapy-thrombolysis in myocardial infarction 22/Reversal of Atherosclerosis with Aggressive Lipid Lowering trials on trends in intensive versus moderate statin therapy in Ontario, CanadaPeter C Austin
Institute for Clinical Evaluative Sciences, Department of Public Health Sciences, University of Toronto, Toronto, Ontario, Canada
Circulation 112:1296-300. 2005..We sought to determine the impact of these 2 trials on trends in intensive versus moderate statin therapy in Ontario, Canada...
Bayesian extensions of the Tobit model for analyzing measures of health statusPeter C Austin
Institute for Clinical Evaluative Sciences, North York, Ontario, Canada
Med Decis Making 22:152-62. 2002....
Optimal statistical decisions for hospital report cardsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Med Decis Making 25:11-9. 2005..Second, to determine optimal significance levels for specific cost functions describing the relative costs associated with different types of misclassifications...
The impact of under coding of cardiac severity and comorbid diseases on the accuracy of hospital report cardsPeter C Austin
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Med Care 43:801-9. 2005..Hospital report cards usually are based on administrative discharge abstracts. However, cardiac severity and comorbidities generally are under-reported in administrative data...
The use of the Tobit model for analyzing measures of health statusP C Austin
Institute for Clinical Evaluative Sciences, North York, Ontario, Canada
Qual Life Res 9:901-10. 2000..However, if the conditional distribution had non-uniform variance, then the Tobit model performed at least as poorly as the OLS model...
Care and outcomes of patients newly hospitalized for heart failure in the community treated by cardiologists compared with other specialistsPhilip Jong
Heart and Stroke/Richard Lewar Centre of Excellence, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
Circulation 108:184-91. 2003..These data raise the need to identify specialty-driven differences in processes of care for heart failure patients, which may explain the observed disparity in clinical outcomes that presently favor cardiologist care...
Predictors of postacute mortality following traumatic brain injury in a seriously injured populationAngela Colantonio
Toronto Rehabilitation Institute, University of Toronto, Toronto, Ontario, Canada
J Trauma 64:876-82. 2008..This study investigates the rate and predictors of postacute mortality (1-9 years after the initial injury) of severely injured persons with TBI in the Province of Ontario from April 1, 1993 to March 31, 1995...
Quality of care of international and Canadian medical graduates in acute myocardial infarctionDennis T Ko
Division of Cardiology and Schulich Heart Centre, Sunnybrook and Women's College Health Sciences Centre, Ontario, Canada
Arch Intern Med 165:458-63. 2005..This information places the care provided by IMGs into perspective and supports the ability of well-selected IMGs in caring for AMI patients...
Sex differences in carotid endarterectomy outcomes: results from the Ontario Carotid Endarterectomy RegistryMoira K Kapral
Institute for Clinical Evaluative Sciences, Division of General Internal Medicine and Clinical Epidemiology and Women s Health Program, University Health Network, Toronto, Ontario, Canada
Stroke 34:1120-5. 2003..We used data from a large population-based carotid surgery registry to determine whether sex differences exist in the risk of perioperative complications from carotid endarterectomy...
Comparison of cardiovascular risk profiles among ethnic groups using population health surveys between 1996 and 2007Maria Chiu
Institute for Clinical Evaluative Sciences, Toronto, Ont
CMAJ 182:E301-10. 2010..We conducted a large, population-based comparison of cardiovascular risk among people of white, South Asian, Chinese and black ethnicity living in Ontario, Canada...
Evaluating sex differences in population-based utilization of implantable cardioverter-defibrillators: role of cardiac conditions and noncardiac comorbiditiesDerek R MacFadden
Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
Heart Rhythm 6:1289-96. 2009..The influence of age and comorbidities on sex-specific implantable cardioverter-defibrillator (ICD) use for primary or secondary prevention is undefined...
Gender differences in outcomes after hospital discharge from coronary artery bypass graftingVeena Guru
Institute for Clinical Evaluative Sciences, Sunnybrook and Women s College Health Sciences Centre, University of Toronto, Toronto, Canada
Circulation 113:507-16. 2006..This study compares gender differences in cardiac events in a population of hospital survivors up to 11 years after isolated CABG surgery in Ontario, Canada...
Effect of discharge summary availability during post-discharge visits on hospital readmissionCarl van Walraven
Department of Medicine, University of Ottawa, Clinical Epidemiology Unit, Ottawa Health Research Institute, Ottawa, ON, Canada
J Gen Intern Med 17:186-92. 2002..To determine if the delivery of hospital discharge summaries to follow-up physicians decreases the risk of hospital readmission...
Predictors of peritonitis in patients on peritoneal dialysis: results of a large, prospective Canadian databaseSharon J Nessim
Department of Medicine, Division of Nephrology, St Michael s Hospital, Toronto, Ontario, Canada
Clin J Am Soc Nephrol 4:1195-200. 2009..Determining factors that are associated with PD peritonitis may facilitate the identification of patients who are at risk...
Income-related differences in mortality among people with diabetes mellitusLorraine L Lipscombe
Institute for Clinical Evaluative Sciences, Toronto, Ont
CMAJ 182:E1-E17. 2010..Whether all income groups have benefited equally, however, is unclear. We examined the impact of income on mortality trends among people with diabetes...
Outcomes and processes of care related to preoperative medical consultationDuminda N Wijeysundera
Institute for Clinical Evaluative Sciences, Keenan Research Centre, Li Ka Shing Knowledge Institute of St Michael s Hospital, Department of Anesthesia, Toronto General Hospital and University of Toronto, EN 3 450, 200 Elizabeth St, Toronto, ON M5G 2C4, Canada
Arch Intern Med 170:1365-74. 2010..Nonetheless, the impact of these consultations, which may be performed by general internists or specialists, on outcomes is unclear...
A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative dataCarl van Walraven
Ottawa Health Research Institute, Ottawa, Ontario, Canada
Med Care 47:626-33. 2009..However, the Elixhauser classification system requires 30 binary variables, making its use for reporting and analysis of comorbidity cumbersome...
Paclitaxel versus sirolimus stents in diabetic and nondiabetic patientsMaria Chiu
Institute for Clinical Evaluative Sciences, Toronto, Canada
Circ Cardiovasc Qual Outcomes 2:96-107. 2009..We therefore studied the long-term effectiveness and safety of sirolimus versus paclitaxel stents overall and stratified by the absence or presence of diabetes...
Continuity of care and patient outcomes after hospital dischargeCarl van Walraven
Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
J Gen Intern Med 19:624-31. 2004..Transfer of information between physicians can be poor. We determined whether early postdischarge outcomes changed when patients were seen after discharge by physicians who treated them in the hospital...
Risk-treatment mismatch in the pharmacotherapy of heart failureDouglas S Lee
Institute for Clinical Evaluative Sciences, Department of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
JAMA 294:1240-7. 2005..Understanding the reasons underlying this mismatch may facilitate improvements in care and outcomes for patients with heart failure...
Outcome of heart failure with preserved ejection fraction in a population-based studyR Sacha Bhatia
Heart and Stroke/Richard Lewar Centre of Excellence, University of Toronto, and the Division of Cardiology, Toronto General Hospital, University Health Network, Toronto, ON, Canada
N Engl J Med 355:260-9. 2006..The survival of patients with heart failure with preserved ejection fraction was similar to that of patients with reduced ejection fraction...
Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes researchDouglas S Lee
Institute for Clinical Evaluative Sciences, Toronto, Canada
Med Care 43:182-8. 2005..Examination of hospitalization data up to 1 year prior to the index admission improves comorbidity detection and may provide enhancements to future studies of heart failure mortality...
Statin therapy and clinical outcomes in heart failure: a propensity-matched analysisMaral Ouzounian
Heart and Stroke Richard Lewar Centre for Excellence, University of Toronto, Toronto, Ontario, Canada
J Card Fail 15:241-8. 2009..The influence of statin therapy in heart failure (HF) has been of considerable interest. The objective of this study was to determine if statins are associated with improved outcomes in patients discharged after hospitalization for HF...
The real-world outcomes of off-pump coronary artery bypass surgery in a public health care systemVeena Guru
Institute for Clinical Evaluative Sciences, Division of Cardiovascular Surgery, University of Toronto, Ontario
Can J Cardiol 23:281-6. 2007..The population-based results of off-pump coronary artery bypass surgery (OPCAB) in a public health care system have not been reported...
Trends in heart failure outcomes and pharmacotherapy: 1992 to 2000Douglas S Lee
Faculty of Pharmacy, Toronto, Canada
Am J Med 116:581-9. 2004..CONCLUSION: During 1992 to 2000, mortality and morbidity improved among elderly patients with heart failure, with increased utilization of beta-blockers contributing most to the beneficial trends in outcomes...
Bayesian statistical inference enhances the interpretation of contemporary randomized controlled trialsDuminda N Wijeysundera
Department of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
J Clin Epidemiol 62:13-21.e5. 2009..Frequentist methods have limitations that might be overcome, in part, by Bayesian inference. To illustrate these advantages, we re-analyzed randomized trials published in four general medical journals during 2004...
Measuring the effect of a large reduction in welfare payments on mental health service use in welfare-dependent neighborhoodsLeah S Steele
Department of Family and Community Medicine, University of Toronto, and Inner City Health Research Unit, St Michael s Hospital, Toronto, Ontario, M4X 1K2, Canada
Med Care 43:885-91. 2005..Major social policy changes were implemented in Canada in the last decade with few efforts to examine their potential health effects...
Relationship between preventability of death after coronary artery bypass graft surgery and all-cause risk-adjusted mortality ratesVeena Guru
Institute for Clinical Evaluative Sciences, G 106, 2075 Bayview Ave, Toronto, Ontario M4N 3M5 Canada
Circulation 117:2969-76. 2008....
Development and validation of the Ontario acute myocardial infarction mortality prediction rulesJ V Tu
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
J Am Coll Cardiol 37:992-7. 2001..To develop and validate simple statistical models that can be used with hospital discharge administrative databases to predict 30-day and one-year mortality after an acute myocardial infarction (AMI)...
Long-term MI outcomes at hospitals with or without on-site revascularizationD A Alter
Institute for Clinical Evaluative Sciences, G106 2075 Bayview Ave, Toronto, Ontario, Canada M4N 3M5
JAMA 285:2101-8. 2001..Whether such differences are due to invasive procedure rates alone or to other patient, physician, and hospital characteristics is unknown...
Relationship between annual volume of patients treated by admitting physician and mortality after acute myocardial infarctionJ V Tu
Institute for Clinical Evaluative Sciences, G 106, 2075 Bayview Ave, Toronto, Ontario, Canada M4N 3M5
JAMA 285:3116-22. 2001..Acute myocardial infarction (AMI) is a common condition that is treated by physicians with varying levels of clinical experience, but whether the level of experience affects outcome remains uncertain...
Use of antidepressants among elderly subjects: trends and contributing factorsM M Mamdani
Institute for Clinical Evaluative Sciences, the Center for Addiction and Mental Health, Toronto, Canada
Am J Psychiatry 157:360-7. 2000..The authors assessed changes over time in antidepressant utilization among elderly subjects regarding the prevalence of antidepressant users, shifts in prescription patterns, and related financial implications...
Utilisation of coronary angiography after acute myocardial infarction in Ontario over time: have referral patterns changed?Y Khaykin
Division of Cardiology, Schulich Heart Centre, Sunnybrook and Women s College Health Sciences Centre and the University of Toronto, Toronto, Ontario, Canada
Heart 88:460-6. 2002..To examine how physicians in Ontario, Canada, have altered their referral patterns for coronary angiography after acute myocardial infarction (AMI) over time...
Biology or bias: practice patterns and long-term outcomes for men and women with acute myocardial infarctionD A Alter
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
J Am Coll Cardiol 39:1909-16. 2002..Another objective was to evaluate the association of age, gender and treatment intensity with five-year survival after AMI...
Safety and effectiveness of drug-eluting stents among diabetic patients: a propensity analysisDennis T Ko
Division of Cardiology, Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
Am Heart J 156:125-34. 2008..Accordingly, we sought to evaluate the long-term safety and effectiveness of DES in diabetic patients...
