Longitudinal binary response models using alternative links for medical data-Reference-Cited by-同舟云学术

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Longitudinal binary response models using alternative links for medical data

Published:2023-06-01 Issue:2 Volume:37 Page:
ISSN:0103-0752
Container-title:Brazilian Journal of Probability and Statistics
language:
Short-container-title:Braz. J. Probab. Stat.

Author:

de la Cruz Huayanay Alex¹,Bazán Jorge L.²,Ribeiro Diniz Carlos A.³

Affiliation:

1. Inter-Institutional Graduation Program in Statistics, USP/UFSCar, São Carlos, Brazil

2. Department of Applied Mathematics and Statistics, University of São Paulo, São Carlos, Brazi

3. Department of Statistics, Federal University of São Carlos, São Carlos, Brazil

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability

Reference53 articles.

1. Cho, H., Ibrahim, J. G., Sinha, D. and Zhu, H. (2009). Bayesian case influence diagnostics for survival models. Biometrics 65, 116–124.

2. Abanto-Valle, C. A., Dey, D. K. and Jiang, X. (2015). Binary state space mixed models with flexible link functions: A case study on deep brain stimulation on attention reaction time. Statistics and Its Interface 8, 187–194.

3. Albert, J. and Chib, S. (2018). Bayesian residual analysis for binary response regression models. Biometrika 82, 747–769.

4. Ando, T. (2011). Predictive Bayesian model selection. American Journal of Mathematical and Management Sciences 31, 13–38.

5. Bazán, J. L., Romeo, J. S. and Rodrigues, J. (2014). Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics 28, 467–482.

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