Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout

2014 ◽  
Vol 56 (2) ◽  
pp. 230-242 ◽  
Author(s):  
Myungok Lee ◽  
Keunbaik Lee ◽  
JungBok Lee
Keyword(s):  
Random Effects ◽  
Binary Data ◽  
Random Effects Models ◽  
Shared Random Effects ◽  
Longitudinal Binary Data ◽  
Nonignorable Dropout

Marginalized random effects models for multivariate longitudinal binary data

2009 ◽  
Vol 28 (8) ◽  
pp. 1284-1300 ◽  
Author(s):  
Keunbaik Lee ◽  
Yongsung Joo ◽  
Jae Keun Yoo ◽  
JungBok Lee
Keyword(s):  
Random Effects ◽  
Binary Data ◽  
Random Effects Models ◽  
Longitudinal Binary Data

scholarly journals Modeling overdispersed longitudinal binary data using a combined beta and normal random-effects model

2012 ◽  
Vol 70 (1) ◽  
Author(s):  
Wondwosen Kassahun ◽  
Thomas Neyens ◽  
Geert Molenberghs ◽  
Christel Faes ◽  
Geert Verbeke
Keyword(s):  
Random Effects ◽  
Binary Data ◽  
Random Effects Model ◽  
Longitudinal Binary Data

scholarly journals Intra-class Correlation in Random-effects Models for Binary Data

2003 ◽  
Vol 3 (1) ◽  
pp. 32-46 ◽  
Author(s):  
Germán Rodríguez ◽  
Irma Elo
Keyword(s):  
Random Effects ◽  
Latent Variable ◽  
Binary Data ◽  
Binary Outcomes ◽  
Measures Of Association ◽  
Intra Class Correlation ◽  
Random Effects Models ◽  
Alternative Measures

We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata's xtprobit, xtlogit, and xtclog. We consider the usual measures of correlation based on a latent variable formulation of these models and note corrections to the last two procedures. We also discuss alternative measures of association based on manifest variables or actual outcomes and introduce a new command xtrho for computing these measures for all three types of models.

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