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Statistics in Medicine|December 3, 2016
One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial informationHairui Hua, Danielle L Burke, Michael J Crowther, et al.
Diagnostic and Prognostic Research|May 17, 2019
Prognosis research ideally should measure time-varying predictors at their intended moment of useRebecca Whittle, Kara-Louise Royle, Kelvin P Jordan, et al.
BMJ Open|January 29, 2014
Stratified medicine in European Medicines Agency licensing: a systematic review of predictive biomarkersKinga Malottki, Mousumi Biswas, Jonathan J Deeks, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 30, 2008
Four miRNAs associated with aggressiveness of lymph node-negative, estrogen receptor-positive human breast cancerJohn A Foekens, Anieta M Sieuwerts, Marcel Smid, et al.
BMC Medical Research Methodology|August 19, 2023
Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic reviewPaula Dhiman, Jie Ma, Cathy Qi, et al.
Statistics in Medicine|August 14, 2018
Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage modelsAmardeep Legha, Richard D Riley, Joie Ensor, et al.
JAMA|April 29, 2015
Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD StatementLesley A Stewart, Mike Clarke, Maroeska Rovers, et al.
The Journal of Orthopaedic and Sports Physical Therapy|October 1, 2021
Clinical Prediction Models in Sports Medicine: A Guide for Clinicians and ResearchersGarrett S Bullock, Tom Hughes, Jamie C Sergeant, et al.
Statistics in Medicine|November 5, 2020
Minimum sample size for external validation of a clinical prediction model with a continuous outcomeLucinda Archer, Kym I E Snell, Joie Ensor, et al.
BMC Medical Research Methodology|July 11, 2022
Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trialsJanharpreet Singh, Sandro Gsteiger, Lorna Wheaton, et al.
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