Showing results (71-80 of 507) with videos related to
Sort By:
Pageof 51
BMC Medical Research Methodology|April 9, 2022
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.Statistical Methods in Medical Research|March 19, 2016
Bayesian bivariate meta-analysis of correlated effects: Impact of the prior distributions on the between-study correlation, borrowing of strength, and joint inferencesDanielle L Burke, Sylwia Bujkiewicz, Richard D RileyBiometrical Journal. Biometrische Zeitschrift|February 13, 2013
A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regressionDan Jackson, Ian R White, Richard D RileyStatistics in Medicine|October 18, 2016
Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differDanielle L Burke, Joie Ensor, Richard D RileyBMJ (Clinical Research Ed.)|January 5, 2012
Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database surveyIkhlaaq Ahmed, Alexander J Sutton, Richard D RileyEvidence-Based Mental Health|October 9, 2015
Meta-analysis of diagnostic accuracy studies in mental healthYemisi Takwoingi, Richard D Riley, Jonathan J DeeksBMC Medical Research Methodology|April 26, 2012
Individual participant data meta-analysis of prognostic factor studies: state of the art?Ghada Abo-Zaid, Willi Sauerbrei, Richard D RileyStatistics in Medicine|July 6, 2012
Quantifying the impact of between-study heterogeneity in multivariate meta-analysesDan Jackson, Ian R White, Richard D RileyJournal of Clinical Epidemiology|October 8, 2019
A systematic review showed more consideration is needed when conducting nonrandomized studies of interventionsPaula Dhiman, Hopin Lee, Shona Kirtley, et al.Statistics in Medicine|June 7, 2013
The added value of propensity score matching when using health-related quality of life reference dataFrancesco Cottone, Fabio Efficace, Giovanni Apolone, et al.Pageof 51