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Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes
We used Monte Carlo simulations to compare the performance of asymptotic variance estimators to that of the bootstrap when estimating standard errors of differences in means, risk differences, and relative risks using propensity score weighting. We considered four different sets of weights: conventi...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley & Sons, Inc.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544125/ https://www.ncbi.nlm.nih.gov/pubmed/35841200 http://dx.doi.org/10.1002/sim.9519 |