Estimating heterogeneous treatment effects for latent subgroups in observational studies-Reference-Cited by-同舟云学术

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Estimating heterogeneous treatment effects for latent subgroups in observational studies

Published:2018-09-19 Issue:3 Volume:38 Page:339-353
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Kim Hang J.¹^ORCID,Lu Bo²^ORCID,Nehus Edward J.³,Kim Mi‐Ok⁴^ORCID

Affiliation:

1. Department of Mathematical Sciences University of Cincinnati Cincinnati Ohio

2. Division of Biostatistics The Ohio State University Columbus Ohio

3. Department of Pediatrics University of Cincinnati Cincinnati Ohio

4. Department of Epidemiology and Biostatistics University of California San Francisco California

Funder

Patient-Centered Outcomes Research Institute

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.7970

Reference43 articles.

1. Subgroup analysis in randomised controlled trials: importance, indications, and interpretation

2. Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials

3. Limitations of Applying Summary Results of Clinical Trials to Individual Patients

4. Fundamentals of Clinical Trials

5. Discovering, comparing, and combining moderators of treatment on outcome after randomized clinical trials: a parametric approach

Cited by 4 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. Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data;Statistics in Medicine;2024-07-25

2. Evaluating sensitivity to classification uncertainty in latent subgroup effect analyses;BMC Medical Research Methodology;2022-09-24

3. Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach;Journal of Educational and Behavioral Statistics;2022-08-17

4. Subgroup causal effect identification and estimation via matching tree;Computational Statistics & Data Analysis;2021-07

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