Principal Causal Effect Identification and Surrogate end point Evaluation by Multiple Trials

DOI10.1111/rssb.12135zbMath1414.62048arXiv1507.05935OpenAlexW951453072MaRDI QIDQ5378371

Zhi Geng, Zhichao Jiang, Peng Ding

Publication date: 12 June 2019

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1507.05935

zbMATH Keywords

clinical trialcausal inferencecausal necessitycausal sufficiencycriterion for surrogate end points

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Sampling theory, sample surveys (62D05)

Related Items (3)

Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi ⋮ Identifying and estimating principal causal effects in a multi-site trial of early college high schools ⋮ Identification of causal effects within principal strata using auxiliary variables

This page was built for publication: Principal Causal Effect Identification and Surrogate end point Evaluation by Multiple Trials