This week’s seminar brings another thought-provoking discussion! Join us on Wednesday, November 5th, as CTML GSR Sky Qiu presents "A Class of TMLEs for Efficient Estimation Under Two-Phase Sampling." This talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401.
In a typical two-phase design, a random sample is drawn from the target population in phase-1, and partial covariate information is collected. In phase-2, a subsample is selected from the initial sample, and full covariate information is gathered. This setting induces a coarsened data structure on the data from the second phase. We assume coarsening at random, that is, the phase-2 sampling mechanism depends only on covariates fully observed. In this talk, we review existing estimators, including the generalized raking estimator and the inverse probability of censoring weighted TMLE (IPCW-TMLE) along with its extensions that also target the phase-2 sampling mechanism to improve efficiency. We further introduce a new class of estimators constructed within the TMLE framework.