Research Topics
| Paul C LambertSummaryAffiliation: University of Leicester Country: UK Publications
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Detail Information
Publications
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...
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...
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...
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)...
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...
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....
Individual patient data meta-analysis of survival data using Poisson regression modelsMichael J Crowther
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Adrian Building, University Road, Leicester LE1 7RH, UK
BMC Med Res Methodol 12:34. 2012..We describe an alternative approach using Poisson based Generalised Linear Models (GLMs)...
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....
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...
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...
Projecting cancer incidence using age-period-cohort models incorporating restricted cubic splinesMark J Rutherford
University of Leicester, UK
Int J Biostat 8:33. 2012..Secondly, the new method uses more recent trends to dictate the future projections than previously proposed methods...
Comparison of methods for calculating relative survival in population-based studiesMark J Rutherford
Department of Health Sciences, 2nd Floor, Adrian Building, University of Leicester, LE1 7RH, UK
Cancer Epidemiol 36:16-21. 2012..This can be obtained by pooling all ages or, more commonly, by using age-standardisation. The various methods for providing a single figure estimate of relative survival can give very different estimates...
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....
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...
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...
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...
Adjusting for the proportion of cancer deaths in the general population when using relative survival: a sensitivity analysisSally R Hinchliffe
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, UK
Cancer Epidemiol 36:148-52. 2012..One potential bias when using relative survival that is most often overlooked occurs when there are a high proportion of deaths due to a specific cancer in the external group...
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...
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...
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...
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...
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 impact of under and over-recording of cancer on death certificates in a competing risks analysis: a simulation studySally R Hinchliffe
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, 2nd Floor Adrian Building, University Road, University of Leicester, Leicester LE1 7RH, UK
Cancer Epidemiol 37:11-9. 2013..However, it is well documented that cause of death information taken from death certificates is often lacking in accuracy and completeness...
Flexible parametric joint modelling of longitudinal and survival dataMichael J Crowther
Department of Health Sciences, University of Leicester, Adrian Building, University Road, Leicester, LE1 7RH, UK
Stat Med 31:4456-71. 2012..We provide user-friendly Stata software...
A systematic review of molecular and biological tumor markers in neuroblastomaRichard D Riley
Departments of Health Sciences, Medical Education, University of Leicester, Leicester
Clin Cancer Res 10:4-12. 2004..Experimental Design: A well-defined, reproducible search strategy was used to identify the relevant literature from 1966 to February 2000...
Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functionsSally R Hinchliffe
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, Leicester, UK
BMC Med Res Methodol 13:13. 2013..They arise when a patient is at risk of more than one mutually exclusive event, such as death from different causes, and the occurrence of one of these may prevent any other event from ever happening...
