A Targeted Maximum Likelihood Estimator for Two-Stage Designs
We consider two-stage sampling designs, including so-called nested case control studies, where one takes a random sample from a target population and completes measurements on each subject in the first stage. The second stage involves drawing a subsample from the original sample, collecting additional data on the subsample. This data structure can be viewed as a missing data structure on the full-data structure collected in the second-stage of the study. Methods for analyzing two-stage designs include parametric maximum likelihood estimation and estimating equation methodology. We propose an inverse probability of censoring weighted targeted maximum likelihood estimator (IPCW-TMLE) in two-stage sampling designs and present simulation studies featuring this estimator.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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A Targeted Maximum Likelihood Estimator for Two-Stage Designs ; volume:7 ; number:1 ; year:2011
The international journal of biostatistics ; 7, Heft 1 (2011)
- Creator
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Rose, Sherri
van der Laan, Mark J.
- DOI
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10.2202/1557-4679.1217
- URN
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urn:nbn:de:101:1-2502190340027.884683215018
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:25 AM CEST
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Associated
- Rose, Sherri
- van der Laan, Mark J.
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