Research Topics
| P C LambertSummaryAffiliation: University of Leicester Country: UK Publications
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Detail Information
Publications
Quantifying differences in breast cancer survival between England and NorwayPaul C Lambert
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, 2nd Floor Adrian Building, University of Leicester, University Road, Leicester LE1 7RH, UK
Cancer Epidemiol 35:526-33. 2011..Survival from breast cancer is lower in the UK than in some other European countries. We compared survival in England and Norway by age and time from diagnosis...
Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival modelsTherese M L Andersson
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, 171 77 Stockholm, Sweden
BMC Med Res Methodol 11:96. 2011..This has led to the exclusion of older age groups in population-based cancer studies using cure models...
Assessing methods for dealing with treatment switching in randomised controlled trials: a simulation studyJames P Morden
ICR CTSU, The Institute of Cancer Research, Cotswold Road, Sutton, Surrey, UK
BMC Med Res Methodol 11:4. 2011..A simulation study was conducted to assess the performance of each method in a number of different scenarios...
Estimating the crude probability of death due to cancer and other causes using relative survival modelsP C Lambert
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, 2nd Floor, Adrian Building, University Road, Leicester LE1 7RH, U K
Stat Med 29:885-95. 2010..We illustrate the approach using an example of men diagnosed with prostate cancer in England and Wales showing the differences in net and crude survival for different ages...
Temporal trends in the proportion cured for cancer of the colon and rectum: a population-based study using data from the Finnish Cancer RegistryPaul C Lambert
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, Leicester, United Kingdom, and Department of Oncology, Helsinki University Central Hospital, Finland
Int J Cancer 121:2052-9. 2007..The reasons for these impressive increases in patient survival are complex, but are highly likely to be strongly related to many improvements in cancer care over this same time period...
Estimating the cost-effectiveness of an intervention in a clinical trial when partial cost information is available: a Bayesian approachPaul C Lambert
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester, UK
Health Econ 17:67-81. 2008..The models estimate the interrelationships between the four cost components and survival, and thus enable a predictive distribution for each missing cost item to be obtained...
Should relative survival be used with lung cancer data?S R Hinchliffe
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, 2nd Floor Adrian Building, University Road, University of Leicester, Leicester LE1 7RH, UK
Br J Cancer 106:1854-9. 2012..It is argued, as most lung cancer patients are smokers and therefore carry a higher risk of smoking-related mortalities, that they are not comparable to a population where the majority are likely to be non-smokers...
A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysisP C Lambert
Department of Epidemiology and Public Health, University of Leicester, 22 28 Princess Road West, LE1 6TP, Leicester, UK
J Clin Epidemiol 55:86-94. 2002..To compare meta-analysis of summary study level data with the equivalent individual patient data (IPD) analysis when interest lies in identification of binary patient characteristics related to treatment efficacy...
Up-to-date estimates of long-term cancer survival in England and WalesL K Smith
Department of Epidemiology and Public Health, University of Leicester, 22 28 Princess Road West, Leicester LE1 6TP, UK
Br J Cancer 89:74-6. 2003..British Journal of Cancer (2003) 89, 74-76. doi:10.1038/sj.bjc.6600976 www.bjcancer.com..
Estimating and modeling the cure fraction in population-based cancer survival analysisPaul C Lambert
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, 22 28 Princess Road West, Leicester LE1 6TP, UK
Biostatistics 8:576-94. 2007..We compare the estimates of relative survival and the cure fraction between the 2 types of model and also investigate the importance of modeling the ancillary parameters in the selected parametric distribution for both types of model...
Randomised controlled trial of the effectiveness of feedback in improving test ordering in general practiceRichard Baker
Clinical Governance Research and Development Unit, Department of General Practice and Primary Health Care, University of Leicester, Leicester General Hospital, UK
Scand J Prim Health Care 21:219-23. 2003..To assess the effectiveness of feedback on the number of pathology tests ordered by general practices...
Different strategies for screening and prevention of type 2 diabetes in adults: cost effectiveness analysisClare L Gillies
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester LE1 7RH
BMJ 336:1180-5. 2008....
Relative survival: what can cardiovascular disease learn from cancer?Christopher P Nelson
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, 2nd Floor, Adrian Building, University Road, Leicester LE1 7RH, UK
Eur Heart J 29:941-7. 2008..Relative survival, the ratio of the observed and the expected survival rates, is applied routinely in cancer studies and may improve on current methods for assessment of survival in CHD...
Flexible parametric models for relative survival, with application in coronary heart diseaseChristopher P Nelson
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester, U K
Stat Med 26:5486-98. 2007....
Providing more up-to-date estimates of patient survival: a comparison of standard survival analysis with period analysis using life-table methods and proportional hazards modelsLucy K Smith
Department of Health Sciences, University of Leicester, 22 28 Princess Road West, Leicester, LE1 6TP, UK
J Clin Epidemiol 57:14-20. 2004..We use statistical models to further develop the method of period analysis, providing more up-to-date estimates of survival and the ability to explore differences in survival by covariates and adjust for case mix...
Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysisClare L Gillies
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester LE1 7RH
BMJ 334:299. 2007..To quantify the effectiveness of pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance...
Predicting costs over time using Bayesian Markov chain Monte Carlo methods: an application to early inflammatory polyarthritisNicola J Cooper
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, UK
Health Econ 16:37-56. 2007..To obtain predicted costs on the original cost scale (rather than the log-cost scale) two different retransformation factors were applied. All analyses were carried out using Bayesian Markov chain Monte Carlo (MCMC) simulation methods...
Evidence-based sample size calculations based upon updated meta-analysisAlexander J Sutton
Department of Health Sciences, University of Leicester, Leicester, UK
Stat Med 26:2479-500. 2007..This raises issues regarding the appropriateness of the use of random effect models when designing and drawing inferences across a series of studies...
A Bayesian approach to evaluating net clinical benefit allowed for parameter uncertaintyAlexander J Sutton
Department of Health Sciences, University of Leicester, 22 28 Princess Road West, Leicester LE1 6TP, United Kingdom
J Clin Epidemiol 58:26-40. 2005..The potential benefits and harms of a treatment policy may differ between individuals. If these benefits and harms are not evaluated distinctly, and in a quantitative framework, transparency can be lost in the decision-making process...
How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGSPaul C Lambert
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, UK
Stat Med 24:2401-28. 2005..The choice of 'vague' prior distribution can lead to a marked variation in results, particularly in small studies. Sensitivity to the choice of prior distribution should always be assessed...
Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effectsPaul C Lambert
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, 22 28 Princess Road West, Leicester, LE1 6TP, UK
Stat Med 24:3871-85. 2005..All models presented in this paper can be estimated within a generalized linear models framework and thus can be implemented using standard software...
Meta-analysis of heterogeneously reported trials assessing change from baselineKeith R Abrams
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, UK
Stat Med 24:3823-44. 2005....
Bayesian implementation of a genetic model-free approach to the meta-analysis of genetic association studiesCosetta Minelli
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester, UK
Stat Med 24:3845-61. 2005..However, under some circumstances the prospective likelihood has been shown to produce identical results and it is usually preferred for its simplicity. In our meta-analyses the two likelihoods give very similar results...
The analysis of peak expiratory flow data using a three-level hierarchical modelPaul C Lambert
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, 22 28 Princess Road West, Leicester LE1 6TP, UK
Stat Med 23:3821-39. 2004..In addition, the Bayesian models provide an intuitive and simple way to investigate the within-subject variance components...
Sensitivity analyses allowed more appropriate and reliable meta-analysis conclusions for multiple outcomes when missing data was presentRichard D Riley
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Princess Road West, Leicester LE1 6TP, United Kingdom
J Clin Epidemiol 57:911-24. 2004..Dissemination bias, in how and what outcomes are reported or published, may be causing this incompleteness. This article illustrates these problems and presents possible sensitivity analyses to allow the most reliable conclusions...
An evaluation of bivariate random-effects meta-analysis for the joint synthesis of two correlated outcomesR D Riley
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, UK
Stat Med 26:78-97. 2007..Bivariate meta-regression and further research priorities are also discussed...
Recalibration methods to enhance information on prevalence rates from large mental health surveysN A Taub
Department of Health Sciences, University of Leicester, UK
Int J Methods Psychiatr Res 14:3-13. 2005..The limitations of the calibration method demonstrate the need to increase agreement between survey and reference measures by improving lay interviews and their diagnostic algorithms...
Efficacy of a short course of parent-initiated oral prednisolone for viral wheeze in children aged 1-5 years: randomised controlled trialAbraham Oommen
Leicester Children's Asthma Centre, Institute for Lung Health, University of Leicester, Leicester, UK
Lancet 362:1433-8. 2003..INTERPRETATION: There is no clear benefit of a short course of parent-initiated oral prednisolone for viral wheeze in children aged 1-5 years even in those with above-average eosinophil priming...
Comments on 'trying to be precise about vagueness' by Stephen Senn, Statistics in Medicine 2007; 26:1417-1430Paul C Lambert
Stat Med 27:619-22, author reply 622-4. 2008
Bivariate random-effects meta-analysis and the estimation of between-study correlationRichard D Riley
Centre for Medical Statistics and Health Evaluation, School of Health Sciences, University of Liverpool, Shelley s Cottage, Brownlow Street, Liverpool, L69 3GS, UK
BMC Med Res Methodol 7:3. 2007..A multivariate random-effects meta-analysis must incorporate and estimate the between-study correlation (rhoB)...
Analysis, power and design of antimicrobial resistance surveillance studies, taking account of inter-centre variation and turnoverRosy Reynolds
Department of Medical Microbiology, Southmead Hospital, Southmead Road, Bristol BS10 5NB, UK
J Antimicrob Chemother 62:ii29-39. 2008..We studied the impact of this problem and the ability of alternative methods to overcome it. We also investigated different study designs and estimated the statistical power of the BSAC Resistance Surveillance Programmes...
What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse dataMichael J Sweeting
MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, UK
Stat Med 23:1351-75. 2004..To compare the performance of different meta-analysis methods for pooling odds ratios when applied to sparse event data with emphasis on the use of continuity corrections...
Cost-effectiveness analysis using data from multinational trials: the use of bivariate hierarchical modelingAndrea Manca
Centre for Health Economics, University of York, UK
Med Decis Making 27:471-90. 2007..The authors suggest that the methods presented here represent a general framework for the analysis of economic data collected from different locations...
Changes in the risk of death after HIV seroconversion compared with mortality in the general populationKrishnan Bhaskaran
MRC Clinical Trials Unit, 222 Euston Rd, London NW1 2DA, United Kingdom
JAMA 300:51-9. 2008..Mortality among human immunodeficiency virus (HIV)-infected individuals has decreased dramatically in countries with good access to treatment and may now be close to mortality in the general uninfected population...
Effect of NHS walk-in centre on local primary healthcare services: before and after observational studyRonald T Hsu
Department of Epidemiology and Public Health, University of Leicester, Leicester LE1 6TP
BMJ 326:530. 2003..To assess the effect of an NHS walk-in centre on local primary and emergency healthcare services...
Meta-analysis of continuous outcomes combining individual patient data and aggregate dataRichard D Riley
Centre for Medical Statistics and Health Evaluation, Faculty of Medicine, University of Liverpool, Shelley s Cottage, Brownlow Street, Liverpool, U K
Stat Med 27:1870-93. 2008..Extension to multiple correlated outcomes is also considered. Ten IPD trials in hypertension, with blood pressure the continuous outcome of interest, are used to assess the models and identify the benefits of utilizing AD alongside IPD...
