Weighted Estimating Equations for Longitudinal Studies with Death and Non-monotone Missing Time-dependent Covariates and Outcomes

Overview

Journal Stat Med

Publisher Wiley

Specialty Public Health

Date 2007 Jun 21

PMID 17579923

Citations 19

Authors

Michelle Shardell

Ram R Miller

Affiliations

Soon will be listed here.

Abstract

We propose a marginal modeling approach to estimate the association between a time-dependent covariate and an outcome in longitudinal studies where some study participants die during follow-up and both variables have non-monotone response patterns. The proposed method is an extension of weighted estimating equations that allows the outcome and covariate to have different missing-data patterns. We present methods for both random and non-random missing-data mechanisms. A study of functional recovery in a cohort of elderly female hip-fracture patients motivates the approach.

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