Sensitivity Analyses Comparing Outcomes Only Existing in a Subset Selected Post‐Randomization, Conditional on Covariates, with Application to HIV Vaccine Trials

DOI10.1111/j.1541-0420.2005.00495.xzbMath1097.62136OpenAlexW2172193141WikidataQ80138337 ScholiaQ80138337MaRDI QIDQ5492070

Yannis Jemiai, Bryan E. Shepherd, Peter B. Gilbert, Andrea G. Rotnitzky

Publication date: 12 October 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00495.x

zbMATH Keywords

maximum likelihoodcausal inferenceprincipal stratificationviral load

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (11)

A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research ⋮ An adaptive Mantel–Haenszel test for sensitivity analysis in observational studies ⋮ Sensitivity analysis for evaluating principal surrogate endpoints relaxing the equal early clinical risk assumption ⋮ Semiparametric Additive Time-Varying Coefficients Model for Longitudinal Data with Censored Time Origin ⋮ The general structure of evidence factors in observational studies ⋮ The potential for bias in principal causal effect estimation when treatment received depends on a key covariate ⋮ Semiparametric estimation of the average causal effect of treatment on an outcome measured after a postrandomization event, with missing outcome data ⋮ Simple relations between principal stratification and direct and indirect effects ⋮ A Global Sensitivity Test for Evaluating Statistical Hypotheses with Nonidentifiable Models ⋮ Chop-Lump Tests for Vaccine Trials ⋮ Sensitivity Analysis for Principal Stratum Direct Effects, with an Application to a Study of Physical Activity and Coronary Heart Disease

Cites Work

• Bayesian inference for causal effects: The role of randomization
• An analytic method for randomized trials with informative censoring. I
• Principal Stratification in Causal Inference
• Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect

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