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Sensitivity analysis for calibrated inverse probability-of-censoring weighted estimators under non-ignorable dropout
Inverse probability of censoring weighting is a popular approach to handling dropout in longitudinal studies. However, inverse probability-of-censoring weighted estimators (IPCWEs) can be inefficient and unstable if the weights are estimated by maximum likelihood. To alleviate these problems, calibr...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253927/ https://www.ncbi.nlm.nih.gov/pubmed/35410545 http://dx.doi.org/10.1177/09622802221090763 |