Hierarchical Logistic Regression Models
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62427-8_10
Reference16 articles.
1. Austin, P. C. (2010). Estimating multilevel logistic regression models when the number of clusters is low: A comparison of different statistical software procedures. The International Journal of Biostatistics, 6(1), 1–20.
2. Hartzel, J., Agresti, A., & Caffo, B. (2001). Multinomial logit random effects models. Statistical Modelling, 1(2), 81–102.
3. Hedeker, D., Mermelstein, R. J., & Demirtas, H. (2008). An application of a mixed effects location scale model for analysis of ecological momentary assessment (EMA) data. Biometrics, 64(2), 627–634.
4. Hedeker, D., Mermelstein, R. J., & Demirtas, H. (2012). Modeling between- and within subject variance in ecological momentary assessment (EMA) data using mixed-effects location scale models. Statistics in Medicine, 31(27), 3328–3336.
5. Kuss, O. (2002). How to use SAS® for logistic regression with correlated data. In SUGI 27 Proceedings, 261-27.
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