Scaled marginal models for multiple continuous outcomes

DOI10.1093/BIOSTATISTICS/4.3.371zbMath1154.62400OpenAlexW2137576793WikidataQ47681678 ScholiaQ47681678MaRDI QIDQ5701234

Jason A. Roy, Xihong Lin, Louise M. Ryan

Publication date: 2 November 2005

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/4.3.371

zbMATH Keywords

Score testAsymptotic relative efficiencyEstimating equationsEffect sizeGlobal effectMultivariate response

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Joint and marginal causal effects for binary non-independent outcomes ⋮ A comparison of methods for analysing multiple outcome measures in randomised controlled trials using a simulation study ⋮ Bayesian Models for Multiple Outcomes Nested in Domains ⋮ Latent factor regression models for grouped outcomes

Uses Software

• SAS
• PROC GENMOD

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