A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts-Reference-Cited by-同舟云学术

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A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts

Published:2017-01 Issue: Volume:138 Page:23-30
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Wang Wei,Wang Wanmei,Mosley Thomas H.,Griswold Michael E.

Funder

National Heart, Lung, and Blood Institute

NHLBI NIH

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference21 articles.

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2. Midlife hypertension and 20-year cognitive change: the atherosclerosis risk in communities neurocognitive study;Gottesman;JAMA Neurol,2014

3. Methods for the analysis of informatively censored longitudinal data;Schluchter;Stat. Med,1992

4. Modeling the drop-out mechanism in repeated-measures studies;Little;J. Am. Statist. Ass,1995

5. Jointly modeling longitudinal and event time data with application to acquired immunodeficiency syndrome;Wang;J. Am. Statist. Ass,2001

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