Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models

Consider a study whose design calls for the study subjects to be followed from enrollment (time t = 0) to time t = T, at which point a primary endpoint of interest Y is to be measured. The design of the study also calls for measurements on a vector V t) of covariates to be made at one or more times...

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Vydané v:	Journal of the American Statistical Association Ročník 94; číslo 448; s. 1096 - 1120
Hlavní autori:	Scharfstein, Daniel O., Rotnitzky, Andrea, Robins, James M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Washington Taylor & Francis Group 01.12.1999 American Statistical Association
Predmet:	Analytical estimating Augmented inverse probability of censoring weighted estimators Consistent estimators Cox proportional hazards model Estimators Identification; Missing data Mathematical independent variables Modeling Noncompliance; Nonparametric methods Nonparametric models Parametric models Randomized trials Selection bias Sensitivity analysis Statistical models Statistical variance Theory and Methods Time-dependent covariates
ISSN:	0162-1459, 1537-274X
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