Latent Subgroup Analysis of a Randomized Clinical Trial through a Semiparametric Accelerated Failure Time Mixture Model

DOI10.1111/J.1541-0420.2012.01818.XzbMath1271.62248OpenAlexW1594293291WikidataQ39736645 ScholiaQ39736645MaRDI QIDQ4919558

L. Altstein, Gang Li

Publication date: 14 May 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3622121

zbMATH Keywords

EM algorithmcompeting risksBuckley-James estimatortreatment efficacynonproportional hazards modelall-or-none noncompliance

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bootstrap, jackknife and other resampling methods (62F40) Medical applications (general) (92C50)

Related Items (6)

Subgroup causal effect identification and estimation via matching tree ⋮ Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion ⋮ Subgroup analysis with a nonparametric unimodal symmetric error distribution ⋮ A semiparametric linear transformation model to estimate causal effects for survival data ⋮ Instrumental variable estimation of early treatment effect in randomized screening trials ⋮ Estimating case-fatality reduction from randomized screening trials

Cites Work

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• Analyzing a randomized trial on breast self-examination with noncompliance and missing outcomes
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