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Weighted Estimating Equations for Longitudinal Studies with Death and Non-monotone Missing Time-dependent Covariates and Outcomes by Michelle Shardell; Ram R. Miller is a Mathematics article available to read on EtoBox.

## 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. Copyright © 2007 John Wiley & Sons, Ltd.

It is typically read by researchers, students, and practitioners in Mathematics.

Author
Michelle Shardell; Ram R. Miller
Publisher
John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)
Published
2007
Language
EN
Field
Mathematics (Physical Sciences)