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- Title
Generalizing evidence from randomized trials using inverse probability of sampling weights.
- Authors
Buchanan, Ashley L.; Hudgens, Michael G.; Cole, Stephen R.; Mollan, Katie R.; Sax, Paul E.; Daar, Eric S.; Adimora, Adaora A.; Eron, Joseph J.; Mugavero, Michael J.
- Abstract
Summary: Results obtained in randomized trials may not easily generalize to target populations. Whereas in randomized trials the treatment assignment mechanism is known, the sampling mechanism by which individuals are selected to participate in the trial is typically not known and assuming random sampling from the target population is often dubious. We consider an inverse probability of sampling weighted (IPSW) estimator for generalizing trial results to a target population. The IPSW estimator is shown to be consistent and asymptotically normal. A consistent sandwich‐type variance estimator is derived and simulation results are presented comparing the IPSW estimator with a previously proposed stratified estimator. The methods are then utilized to generalize results from two randomized trials of human immunodeficiency virus treatment to all people living with the disease in the USA.
- Subjects
UNITED States; PROBABILITY theory; STATISTICAL sampling; HIV infections; AIDS treatment; AIDS
- Publication
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2018, Vol 181, Issue 4, p1193
- ISSN
0964-1998
- Publication type
Article
- DOI
10.1111/rssa.12357