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A targeted maximum likelihood estimator for two-stage designs
- Source :
- The international journal of biostatistics. 7(1)
- Publication Year :
- 2011
-
Abstract
- 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.
- Subjects :
- Statistics and Probability
Likelihood Functions
Models, Statistical
Estimation theory
Estimator
Sampling (statistics)
General Medicine
Estimating equations
Maximum likelihood sequence estimation
Missing data
Censoring (statistics)
Article
Sample size determination
Research Design
Case-Control Studies
Sample Size
Statistics
Humans
Statistics, Probability and Uncertainty
Mathematics
Subjects
Details
- ISSN :
- 15574679
- Volume :
- 7
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- The international journal of biostatistics
- Accession number :
- edsair.doi.dedup.....678f8f4dde89c8e7737ee3a75138ad8a