Richard D Riley
Affiliation: University of Liverpool
- 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....
- 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...
- Meta-analysis of genetic studies using Mendelian randomization--a multivariate approachJohn R Thompson
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, 22 28 Princess Rd West, Leicester, LE1 6TP, U K
Stat Med 24:2241-54. 2005..We show how either maximum likelihood or a Bayesian approach with vague prior distributions can be used to fit the alternative model...
- Primer: an evidence-based approach to prognostic markersDouglas G Altman
Cancer Research UK Medical Statistics Group, Centre for Statistics in Medicine, Wolfson College, Oxford, UK
Nat Clin Pract Oncol 2:466-72. 2005..Prospectively planned pooled analyses of high-quality studies, along with general availability of individual patient data and adherence to reporting guidelines, would help alleviate many of these problems...
- Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methodsRichard D Riley
Centre for Medical Statistics and Health Evaluation, School of Health Sciences, University of Liverpool, UK
J Clin Epidemiol 60:431-9. 2007..In this situation researchers might need to combine IPD with AD to utilize all the evidence available. Here, we review applied IPD meta-analysis articles to assess if and how AD is combined with IPD in practice...
- 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)...
- An alternative model for bivariate random-effects meta-analysis when the within-study correlations are unknownRichard D Riley
Centre for Medical Statistics and Health Evaluation, Faculty of Medicine, University of Liverpool, Liverpool, England L69 3GS
Biostatistics 9:172-86. 2008..The alternative model greatly facilitates the utilization of correlation in meta-analysis and should allow an increased application of BRMA in practice...
- 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...
- A multivariate meta-analysis approach for reducing the impact of outcome reporting bias in systematic reviewsJamie J Kirkham
Department of Biostatistics, University of Liverpool, Liverpool, L69 3GS, United Kingdom
Stat Med 31:2179-95. 2012..We also examine the use of the Pearson correlation as a novel approach for dealing with missing within-study correlations, and provide an extension to bivariate random-effects models that reduce ORB in the presence of heterogeneity...
- Meta-analysis of diagnostic test studies using individual patient data and aggregate dataRichard D Riley
Faculty of Medicine, Centre for Medical Statistics and Health Evaluation, University of Liverpool, Shelley s Cottage, Liverpool, UK
Stat Med 27:6111-36. 2008..The models reveal that between-study heterogeneity is partly explained by the use of different measurement devices, but there is no evidence that being an infant modifies diagnostic accuracy...
- Meta-analysis of individual patient data versus aggregate data from longitudinal clinical trialsAshley P Jones
Centre for Medical Statistics and Health Evaluation, School of Health Sciences, University of Liverpool, Brownlow Street, Liverpool, L69 3GS, UK
Clin Trials 6:16-27. 2009....
- Prognosis research: toward evidence-based results and a Cochrane methods groupRichard D Riley
J Clin Epidemiol 60:863-5; author reply 865-6. 2007