Research Topics
| Michael J HaberSummaryAffiliation: Emory University Country: USA Publications
Research Grants
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Detail Information
Publications
Antibiotic control of antibiotic resistance in hospitals: a simulation studyMichael Haber
Department of Biostatistics and Bioinformatics, Emory University School of Public Health, Atlanta, GA, USA
BMC Infect Dis 10:254. 2010..In our analysis of the properties of this model we give particular consideration different regimes of using second-line drugs in this process...
Estimation of the direct and indirect effects of vaccinationM Haber
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
Stat Med 18:2101-9. 1999..Examples from a mumps outbreak and a (hypothetical) HIV vaccine trial are used to illustrate the estimation of these new measures of vaccination effectiveness...- A general approach to evaluating agreement between two observers or methods of measurement from quantitative data with replicated measurementsMichael Haber
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
Stat Methods Med Res 17:151-69. 2008..Our approach is illustrated using data from a study comparing systolic blood pressure measurements by a human observer and an automatic monitor. The performance of the new estimates is assessed via stochastic simulations... - Assessing observer agreement in studies involving replicated binary observationsMichael Haber
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA
J Biopharm Stat 17:757-66. 2007..The reliability of the estimation method is examined via a simulation study. Data from a study aimed at determining the validity of diagnosis of breast cancer based on mammograms is used to illustrate the new concepts and methods... - Herd immunity and pneumococcal conjugate vaccine: a quantitative modelMichael Haber
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
Vaccine 25:5390-8. 2007..Because the model was based on incidence rates and PCV7 coverage in Atlanta, our findings should be validated in other geographic areas... - Effectiveness of interventions to reduce contact rates during a simulated influenza pandemicMichael J Haber
Department of Biostatistics, Emory University Rollins School of Public Health, Atlanta, Georgia 30322, USA
Emerg Infect Dis 13:581-9. 2007..Restricting the activities of infected persons early in a pandemic could decrease the pandemic's health effects... - Coefficients of agreement for fixed observersMichael Haber
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
Stat Methods Med Res 15:255-71. 2006..We argue that the assumption of independence is unrealistic in this context and present a new coefficient that is not based on the concept of chance agreement... - Assessing individual agreementHuiman X Barnhart
Department of Biostatistics and Bioinformatics, Duke Clinical Research Institute, Duke University, Durham, North Carolina 27715, USA
J Biopharm Stat 17:697-719. 2007..A method of moments is used for estimation, where one can utilize output from ANOVA models. The nonparametric and bootstrap approaches are used for inference. Five examples are used for illustration... - Comparison of concordance correlation coefficient and coefficient of individual agreement in assessing agreementHuiman X Barnhart
Department of Biostatistics and Bioinformatics, Duke Clinical Research Institute, Duke University, Durham, North Carolina 27715, USA
J Biopharm Stat 17:721-38. 2007..The relationship between CCC and CIA as well as the impact of between-subject variability are presented algebraically and graphically. Several examples are presented to explain the interpretation of the CCC and CIA values... - Assessing intra, inter and total agreement with replicated readingsHuiman X Barnhart
Department of Biostatistics and Bioinformatics, Duke Clinical Research Institute, Duke University, P O Box 17969, Durham, NC 27715, USA
Stat Med 24:1371-84. 2005..Simulation studies are conducted to assess the performance of the proposed approach and data from a carotid stenosis screening study is used for illustration... - Estimation of coefficients of individual agreement (CIAs) for quantitative and binary data using SAS and RYi Pan
Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, United States
Comput Methods Programs Biomed 98:214-9. 2010..Data from a carotid stenosis screening study is used as an example of quantitative measurements. Data from a study involving the evaluation of mammograms by ten radiologists is used to illustrate a binary data example... - Overall concordance correlation coefficient for evaluating agreement among multiple observersHuiman X Barnhart
Department of Biostatistics, The Rollins School of Public Health of Emory University, 1518 Clifton Road NE, Atlanta, Georgia 30322, USA
Biometrics 58:1020-7. 2002..Fourth, the inference approaches of GEE and the U-statistics are compared via simulations for small samples. Fifth, we illustrate the use of the OCCC by two medical examples with the GEE, U-statistics, and bootstrap approaches... - Randomized trial of pallidotomy versus medical therapy for Parkinson's diseaseJerrold L Vitek
Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
Ann Neurol 53:558-69. 2003..0001), "off" motor (p < 0.0001) and complications of therapy subscores (p < 0.0001). Sustained improvement was also seen for tremor, rigidity, bradykinesia, percent on time and drug-induced dyskinesias... - Validity of the 30-item geriatric depression scale in patients with Parkinson's diseaseWilliam M McDonald
Fuqua Center for Late Life Depression, Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia 30329 5102, USA
Mov Disord 21:1618-22. 2006..54; P < 0.001). The GDS is useful in screening for dPD. A cutoff score of 9/10 has acceptable discriminant validity for dPD, and the GDS has a moderate correlation with the HDRS in PD patients... - Controlled pilot study of the effects of neuromuscular therapy in patients with Parkinson's diseaseLauren H Craig
Atlanta School of Massage, Atlanta, Georgia, USA
Mov Disord 21:2127-33. 2006..The results of this pilot study warrant larger controlled studies to examine dose range, durability, and mechanisms of NMT in PD function... - Frequency and determinants of disagreement and error in gleason scores: a population-based study of prostate cancerMichael Goodman
Department of Epidemiology, Emory University Rollins School of Public Health, 1518 Clifton Road, NE Atlanta, GA 30322, USA
Prostate 72:1389-98. 2012..To examine factors that affect accuracy and reliability of prostate cancer grade we compared Gleason scores documented in pathology reports and those assigned by urologic pathologists in a population-based study... - Seasonal variation in the epidemiology of sepsisPajman A Danai
Division of Pulmonary, Allergy and Critical Care, Department of Medicine, Emory University, Atlanta, GA, USA
Crit Care Med 35:410-5. 2007..Understanding seasonal or regional variations may improve knowledge of sepsis epidemiology and pathophysiology and could affect healthcare planning and resource allocation... - Does antimicrobial resistance cluster in individual hospitals?John E McGowan
Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA
J Infect Dis 186:1362-5. 2002..pneumoniae was significantly correlated with the majority of other sentinel antimicrobial-resistant organisms. High prevalence of this organism may serve as a marker for more generalized resistance problems in hospital inpatient areas... - Estimating vaccine efficacy from household data observed over timeXiaohong M Davis
Department of Biostatistics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
Stat Med 23:2961-74. 2004..In addition, we investigate the bias in estimating VE(S) and VE(I) due to misclassification of infection status when only illness data, rather than true infection data, are available... - An overview on assessing agreement with continuous measurementsHuiman X Barnhart
Department of Biostatistics and Bioinformatics and Duke Clinical Research Institute, Duke University, Durham, North Carolina 27715, USA
J Biopharm Stat 17:529-69. 2007..We also identify gaps that require further research and discuss future directions in assessing agreement...
Research Grants
- New Methods for Evaluating Interobserver AgreementMichael Haber; Fiscal Year: 2006..Existing and new agreement indices will be compared and linked. All the proposed methods will be applied to real data sets from the behavioral and biomedical sciences. ..