Showing results (81-90 of 507) with videos related to
Sort By:
Pageof 51
Journal of Clinical Epidemiology|March 12, 2016
Adequate sample size for developing prediction models is not simply related to events per variableEmmanuel O Ogundimu, Douglas G Altman, Gary S CollinsStatistics in Medicine|November 11, 2015
Sample size considerations for the external validation of a multivariable prognostic model: a resampling studyGary S Collins, Emmanuel O Ogundimu, Douglas G AltmanJournal of Clinical Epidemiology|November 27, 2022
Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction modelsConstanza L Andaur Navarro, Johanna A A Damen, Maarten van Smeden, et al.BMJ Open|July 10, 2021
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligenceGary S Collins, Paula Dhiman, Constanza L Andaur Navarro, et al.Diagnostic and Prognostic Research|July 7, 2025
A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk-part 1: binary outcomesRichard D Riley, Gary S Collins, Rebecca Whittle, et al.BMC Medical Research Methodology|July 21, 2017
A random effects meta-analysis model with Box-Cox transformationYusuke Yamaguchi, Kazushi Maruo, Christopher Partlett, et al.Biostatistics (Oxford, England)|July 13, 2007
An alternative model for bivariate random-effects meta-analysis when the within-study correlations are unknownRichard D Riley, John R Thompson, Keith R AbramsStatistics in Medicine|April 26, 2012
A multivariate meta-analysis approach for reducing the impact of outcome reporting bias in systematic reviewsJamie J Kirkham, Richard D Riley, Paula R WilliamsonJournal of Clinical Epidemiology|April 11, 2007
Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methodsRichard D Riley, Mark C Simmonds, Maxime P LookJournal of Clinical Epidemiology|November 27, 2010
Statistical methods can be improved within Cochrane pregnancy and childbirth reviewsRichard D Riley, Simon Gates, James Neilson, et al.Pageof 51