scholarly journals Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome

2017 ◽  
Vol 36 (22) ◽  
pp. 3475-3494 ◽  
Author(s):  
Guoqing Diao ◽  
Donglin Zeng ◽  
Kuolung Hu ◽  
Joseph G. Ibrahim
Keyword(s):  
Myelodysplastic Syndrome ◽  
Count Data ◽  
Informative Dropout

scholarly journals Semiparametric frailty models for zero‐inflated event count data in the presence of informative dropout

Biometrics ◽  
2019 ◽  
Vol 75 (4) ◽  
pp. 1168-1178
Author(s):  
Guoqing Diao ◽  
Donglin Zeng ◽  
Kuolung Hu ◽  
Joseph G. Ibrahim
Keyword(s):  
Count Data ◽  
Frailty Models ◽  
Informative Dropout

Modeling Repeated Count Data Subject to Informative Dropout

Biometrics ◽  
2000 ◽  
Vol 56 (3) ◽  
pp. 667-677 ◽  
Author(s):  
Paul S. Albert ◽  
Dean A. Follmann
Keyword(s):  
Count Data ◽  
Informative Dropout ◽  
Data Subject

Regression Analysis of Count Data

1998 ◽  
Author(s):  
A. Colin Cameron ◽  
Pravin K. Trivedi
Keyword(s):  
Regression Analysis ◽  
Count Data

Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.

2020 ◽  
Author(s):  
James L. Peugh ◽  
Sarah J. Beal ◽  
Meghan E. McGrady ◽  
Michael D. Toland ◽  
Constance Mara
Keyword(s):  
Count Data ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Generalized Linear Mixed Model ◽  
Longitudinal Count Data
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