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 maximumlikelihood 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. PMCID:PMC3083136
International Journal of Biostatistics
2011
S. Rose and M.J. van der Laan
http://www.ncbi.nlm.nih.gov/pubmed/?term=A%20targeted%20maximum%20likelihood%20estimator%20for%20two-stage%20designs