Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS

DOI10.1016/j.csda.2007.02.007zbMath1162.62437OpenAlexW2054968322MaRDI QIDQ1020068

Assam Pryseley, Geert Molenberghs, Ariel Alonso, Abel Tilahun

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.02.007

zbMATH Keywords

hierarchical modelmeta-analysisrandom-effects modelsurrogate endpointrelative effectadjusted associationproportion explained

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Center-within-trial versus trial-level evaluation of surrogate endpoints ⋮ Using earlier measures in a longitudinal sequence as a potential surrogate for a later one ⋮ An information-theoretic approach to surrogate-marker evaluation with failure time endpoints

Uses Software

• R
• SAS

Cites Work

• Choice of units of analysis and modeling strategies in multilevel hierarchical models
• The evaluation of surrogate endpoints.
• Simplified hierarchical linear models for the evaluation of surrogate endpoints
• The validation of surrogate endpoints in meta-analyses of randomized experiments
• On meta-analytic assessment of surrogate outcomes
• Criteria for the Validation of Surrogate Endpoints in Randomized Experiments