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Journal of Clinical Epidemiology
|
May 19, 2021
PRIME-IPD SERIES Part 2. Retrieving, checking, and harmonizing data are underappreciated challenges in individual participant data meta-analyses
Brooke Levis, Miriam Hattle, Richard D Riley
Statistics in Medicine
|
November 4, 2014
An alternative pseudolikelihood method for multivariate random-effects meta-analysis
Yong Chen, Chuan Hong, Richard D Riley
Research Synthesis Methods
|
October 22, 2017
An improved method for bivariate meta-analysis when within-study correlations are unknown
Chuan Hong, Richard D Riley, Yong Chen
Breast Cancer Research and Treatment
|
November 1, 2011
A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance
Catherine Meads, Ikhlaaq Ahmed, Richard D Riley
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 inferences
Danielle L Burke, Sylwia Bujkiewicz, Richard D Riley
Biometrical Journal. Biometrische Zeitschrift
|
February 13, 2013
A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regression
Dan Jackson, Ian R White, Richard D Riley
Statistics in Medicine
|
October 18, 2016
Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ
Danielle L Burke, Joie Ensor, Richard D Riley
BMJ (Clinical Research Ed.)
|
January 5, 2012
Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey
Ikhlaaq Ahmed, Alexander J Sutton, Richard D Riley
BMJ (Clinical Research Ed.)
|
January 1, 2010
Ten steps towards improving prognosis research
Harry Hemingway, Richard D Riley, Douglas G Altman
Diagnostic and Prognostic Research
|
May 19, 2026
Agreement between heuristic shrinkage factor and optimal shrinkage factors in logistic regression for risk prediction: a simulation study across different sample sizes and settings
Alexander Pate, Glen P Martin, Richard D Riley
Page
of 30
Search research articles
Search
Showing results (11-20 of 292) with videos related to
Sort By:
Page
of 30
Journal of Clinical Epidemiology
|
May 19, 2021
PRIME-IPD SERIES Part 2. Retrieving, checking, and harmonizing data are underappreciated challenges in individual participant data meta-analyses
Brooke Levis, Miriam Hattle, Richard D Riley
Statistics in Medicine
|
November 4, 2014
An alternative pseudolikelihood method for multivariate random-effects meta-analysis
Yong Chen, Chuan Hong, Richard D Riley
Research Synthesis Methods
|
October 22, 2017
An improved method for bivariate meta-analysis when within-study correlations are unknown
Chuan Hong, Richard D Riley, Yong Chen
Breast Cancer Research and Treatment
|
November 1, 2011
A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance
Catherine Meads, Ikhlaaq Ahmed, Richard D Riley
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 inferences
Danielle L Burke, Sylwia Bujkiewicz, Richard D Riley
Biometrical Journal. Biometrische Zeitschrift
|
February 13, 2013
A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regression
Dan Jackson, Ian R White, Richard D Riley
Statistics in Medicine
|
October 18, 2016
Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ
Danielle L Burke, Joie Ensor, Richard D Riley
BMJ (Clinical Research Ed.)
|
January 5, 2012
Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey
Ikhlaaq Ahmed, Alexander J Sutton, Richard D Riley
BMJ (Clinical Research Ed.)
|
January 1, 2010
Ten steps towards improving prognosis research
Harry Hemingway, Richard D Riley, Douglas G Altman
Diagnostic and Prognostic Research
|
May 19, 2026
Agreement between heuristic shrinkage factor and optimal shrinkage factors in logistic regression for risk prediction: a simulation study across different sample sizes and settings
Alexander Pate, Glen P Martin, Richard D Riley
Page
of 30