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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of the American Statistical Association Vol. 94; no. 448; pp. 1096 - 1120
Main Authors:	Scharfstein, Daniel O., Rotnitzky, Andrea, Robins, James M.
Format:	Journal Article
Language:	English
Published:	Washington Taylor & Francis Group 01.12.1999 American Statistical Association
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!