Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures-Reference-Cited by-同舟云学术

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Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures

Published:2022-05-24 Issue:16 Volume:41 Page:3039-3056
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Jo Booil¹^ORCID

Affiliation:

1. Department of Psychiatry and Behavioral Sciences Stanford University Stanford California USA

Funder

National Institute of Mental Health

National Institute on Drug Abuse

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9401

Reference31 articles.

1. Principal Stratification in Causal Inference

2. Finite Mixture Distributions

3. Finite Mixture Models

4. Principal stratification analysis using principal scores

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A mixed model approach to estimate the survivor average causal effect in cluster‐randomized trials;Statistics in Medicine;2023-11-20

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