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

详细信息    查看全文

• 作者：Wei Wang^a ; ^{wwang@umc.edu} ; Wanmei Wang^a ; ^{wwang2@umc.edu} ; Thomas H. Mosley^b ; ^{tmosley@umc.edu} ; Michael E. Griswold^a ; ^{mgriswold@umc.edu}
• 关键词：Joint modeling ; Shared parameter model ; Longitudinal submodels ; Competing causes for dropout
• 刊名：Computer Methods and Programs in Biomedicine
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：138
• 期：Complete
• 页码：23-30
• 全文大小：500 K
• 卷排序：138

文摘

A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts. The linear mixed effects submodel for the longidudinal outcome, with the random intercept and/or random slope specifications. The survival submodel allows up to three different competing causes for dropout. Simulation study shows the unbiased parameter estimates when informative dropout exists.