Premium Model‐assisted estimators for time‐to‐event data from complex surveysPremium
Reist Benjamin M.,
statistics in medicine
We develop model‐assisted estimators for complex survey data for the proportion of a population that experienced some event by a specified time t . Theory for the new estimators uses time‐to‐event models as the underlying framework but have both good model‐based and design‐based properties. The estimators are compared in a simulation to traditional survey estimation methods and are also applied to a study of nurses' health. The new estimators take advantage of covariates predictive of the event and reduce standard errors compared to conventional alternatives.
Subject(s)computer science , covariate , econometrics , engineering , estimation , estimator , event (particle physics) , event data , machine learning , mathematics , physics , quantum mechanics , small area estimation , statistics , systems engineering
SCImago Journal Rank1.996
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