Large sample bounds on the survivor average causal effect in the presence of a binary covariate with conditionally ignorable treatment assignment

DOI10.1515/ijb-2013-0039MaRDI QIDQ6632700

Dylan S. Small, Michael H. Freiman

Publication date: 5 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

causal inferenceprincipal stratificationcensoring by deathlarge sample bounds

Mathematics Subject Classification ID

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

Cites Work

• An application of principal stratification to control for institutionalization at follow-up in studies of substance abuse treatment programs
• Bayesian inference for causal effects: The role of randomization
• Sharp bounds on the causal effects in randomized experiments with ``truncation-by-death
• Principal Stratification in Causal Inference
• Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials
• Bounds on Causal Effects in Three-Arm Trials With Non-Compliance
• The central role of the propensity score in observational studies for causal effects
• Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
• Causal inference for non-mortality outcomes in the presence of death
• Confidence Intervals for Partially Identified Parameters
• Principal stratification -- a goal or a tool?

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