A synthetic estimator for the efficacy of clinical trials with all-or-nothing compliance

Author:

Antonelli Joseph1ORCID,Han Bing2,Cefalu Matthew2

Affiliation:

1. Department of Biostatistics; Harvard T.H. Chan School of Public Health; 655 Huntington Avenue Boston MA 02115 U.S.A.

2. RAND Corporation; 1776 Main Street Santa Monica CA 90401 U.S.A.

Funder

National Institutes of Health

National Institute of Drug Abuse

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Cited by 3 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. Synthetic estimation for the complier average causal effect;Canadian Journal of Statistics;2021-07-13

2. Providing Health Physicals and/or Health Monitoring Services in Mental Health Clinics: Impact on Laboratory Screening and Monitoring for High Risk Populations;Administration and Policy in Mental Health and Mental Health Services Research;2020-07-23

3. Averaging causal estimators in high dimensions;Journal of Causal Inference;2020-01-01

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