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

• Published in: Biometrics Vol. 69; no. 1; pp. 52 - 61
• Main Authors: Altstein, L, Li, G
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishers 01.03.2013; Blackwell Publishing Ltd; Wiley-Blackwell
• Subjects: All-or-none noncompliance; biological treatment; BIOMETRIC METHODOLOGY; Biometrics; biometry; biopsy; Buckley-James estimator; Censored data; Censorship; Clinical trials; Competing risks; Computer Simulation; Data Interpretation, Statistical; Disease-Free Survival; EM algorithm; Estimation methods; Humans; Lymph node excision; Lymph Node Excision - standards; melanoma; Melanoma - surgery; Modeling; Models, Statistical; Nonproportional hazards model; Parametric models; Patient Compliance; patients; randomized clinical trials; Randomized Controlled Trials as Topic - methods; Simulation; Simulations; Skin cancer; Statistical estimation; Statistical models; Treatment efficacy; variance

This article studies a semiparametric accelerated failure time mixture model for estimation of a biological treatment effect on a latent subgroup of interest with a time‐to‐event outcome in randomized clinical trials. Latency is induced because membership is observable in one arm of the trial and un...