Generalizing evidence from randomized trials using inverse probability of sampling weights

Ashley L. Buchanan; Michael G. Hudgens; Stephen R. ColeKatie R. MollanAdaora A. AdimoraJoseph J. EronPaul E. SaxEric S. DaarMichael J. Mugavero

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Generalizing evidence from randomized trials using inverse probability of sampling weights

机译：Generalizing evidence from randomized trials using inverse probability of sampling weights

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The problem of generalizing results obtained in randomized trials to target populations is not easy because the sampling mechanism used in randomized trials is usually unknown, though the treatment assignment mechanism is known. As a result, a random sampling approach to sample from the target population may not be appropriate. In this article, an inverse probability of sampling weighted (IPSW) estimator is proposed for generalizing the randomized trial results to a target population. The assumptions and notations considered are discussed in detail and the proposed IPSW estimator and stratified estimator are described. The large sampling properties of the IPSW estimator are derived, including a closed expression for the asymptotic variance and a consistent sandwich-type estimator of the variance. A simulation study is use to study performance of the IPSW estimator and to compare it with the stratified estimator. The methods are utilized to generalize results from two randomized trials of human immunodeficiency virus treatment to all people living with the disease in the US.

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《Quality Control and Applied Statistics》 |2021年第2期|89-90|共2页
作者
Ashley L. Buchanan; Michael G. Hudgens; Stephen R. ColeKatie R. MollanAdaora A. AdimoraJoseph J. EronPaul E. SaxEric S. DaarMichael J. Mugavero;
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Pharmacy Practice, University of Rhode Island, 7 Greenhouse Road, Kingston, RI 02881;

University of North Carolina at Chapel Hill, NC;

Brigham and Women's Hospital and Harvard Medical School, Boston, MALos Angeles Biomedical Research Institute at Harbor-University of California Los Angeles Medical Center, CAUniversity of Alabama, Tuscaloosa, AL;

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正文语种英语
中图分类概率论、数理统计的应用;
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Generalizing evidence from randomized trials using inverse probability of sampling weights

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