- Agbeko, C.K., Ali Mallah, M., He, B., Liu, Q., Song, H., & Wang, J. (2022). Mental Health Status and Its Impact on TB Treatment and Its Outcomes: A Scoping Literature Review. Frontier in Publich Health, 10, 1-12
- Breslow, N.E. & Clayton, D.G. (1993). Approximate Inference in Generalized Linear Mixed Models. Journal of the American Statistical Association, 88, 9-25
- Cascarano, A., Mur-petite, J., Hernández-González, J., Camacho, M., De Toro Eadie, N., Gkontra, P., Chadeau-Hyam, M., Vitrià, J., & Lekadir, K. (2023). Machine and Deep Learning for Longitudinal Biomedical Data: A Review of Methods and Applications. Artificial Intelligence Review ( https://doi.org/10.1007/s10462-023-10561-w), 1-61
- Diggle, P.J., Liang, Y.K., & Zeger, S.L. (2006). Analysis of Longitudinal Data, Second Edition. New York: Oxford
- Efron, B. (2020). Prediction, Estimation, and Attribution. Journal of the American Statistical Association, 115(530), 636-655
- Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2004). Applied Longitudinal Analysis. New Jersey: John Wiley& Sons, Inc
- Geroldinger, A., Lusa, L., Nold, M., & Heinze, G. (2023). Leave-one-out cross-validation, penalization, and differential bias of some prediction model performance measures—a simulation study. Diagnostic and Prognostic Research, 1-11
- Gumantan, A., Aditya, M., Imam, Y., & Rizki. (2020). Tingkat Kecemasan Seseorang Terhadap Pemberlakuan New Normal dan Pengetahuan terhadap Imunitas Tubuh. Sport Science and Education Journal, 18-27. doi: 10.33365/ssej.v1i2.718
- Hanusz, Z., & TarasiŃska, J. (2014). Simulation Study on Improved Shapiro–Wilk Tests for Normality. Communications in Statistics - Simulation and Computation, 2093-2105
- Hayward, S.E., Deal, A., Rustage, K., Nellums, L.B., Sweetland, A.C., Boccia, D., Hargreaves, S., & Friedland, J. S. (2022). The Relationship Between Mental Health and Risk of Active Tuberculosis: A Systematic Review. BMJ Open, 12:e048945
- Hu, S., Wang, Y.G., Drovandi, C., & Cao, T. (2022). Predictions of Machine Learning with Mixed-effects in Analyzing Longitudinal Data under Model Misspecification. Statistical Methods & Applications, 681-711
- Jiang, Z., Sheetal, A., & De Millia, L. (2022). Using Machine Learning to Analyze Longitudinal Data: A Tutorial Guide and Best-Practice Recommendations for Social Science Researchers. Journal of Applied Psychology, 72(3), 891-1364
- Lara-Espinosa, J.V. & Hernández-Pando, R. (2021). Psychiatric Problems in Pulmonary Tuberculosis: Depression and Anxiety. Journal of Tuberculosis Research, 9(1), 31-50
- Mandel, F., Ghosh, R.P., & Barnett, I. (2021). Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models. Biometrics, 79, 711-721
- Moynihan , K.M., Ziniel, S.I., Johnston, E., Morell, E., Pituch, K., & Blume, E. D. (2022). A "Good Death" for Children with Cardiac Disease. Pediatric Cardiology, 744-755. doi: 10.1007/s00246-021-02781-0
- Nemesure, M.D., Heinz, M.V., Huang, R., & Jacobson, N.C. (2021). Predictive Modeling of Depression and Anxiety Using Electronic Health Records and A Novel Machine Learning Approach with Artificial Intelligence. Science Report, 1-9
- Poli, I. & Jones, R.D. (1994). A Neural Net Model for Prediction. Journal of the American Statistical Association, 89(425), 117-121
- Rahmi, N., Medison, I., & Suryadi, I. (2017). Hubungan Tingkat Kepatuhan Penderita Tuberkulosis Paru dengan Perilaku Kesehatan, Efek Samping OAT dan Peran PMO pada Pengobatan Fase Intensif di Puskesmas Seberang Padang September 2012 - Januari 2013. Jurnal Kesehatan Andalas, 345-350. doi: 10.25077/jka.v6i2.702
- Rohmaniah, S. A., & Chandra, N. E. (2018). Pemodelan Mortalita dengan Pendekatan GLMM. Lamongan: Penerbit Pustaka Ilalang
- RSSA (2022). Data Pasien Tuberkulosis Paru. Malang: Rumah Sakit Saiful Anwar
- Rudy, M., Widyadharma, P.E., & Adnyana, I.M. (2015). Reliability Indonesian Version of The Hospital Anxiety and Depression Scale (HADS) of Stroke Patients in Sanglah General Hospital Denpasar
- Suryani, Widianti, E., Hernawati, T., & Sriati, A. (2016). Psikoedukasi Menurunkan Tingkat Depresi, Stres dan Kecemasan pada Pasien Tuberkulosis Paru. Jurnal Ners, 11(1), 128-133. doi: 10.20473/jn.v11i1.1455
- Verbeke, G. & Molenberghs, G. (2000). Linear Mixed Model for Longitudinal Data. New York: Springer Series in Statistics
- Wang, X., Li, X., Zhang, Q., Zhang, J., Chen, H., Xu, W., Fu, Y., Wang, Q., Kang, J., & Hou, G. (2018). A Survey of Anxiety and Depressive Symptoms in Pulmonary Tuberculosis Patients With and Without Tracheobronchial Tuberculosis. Frontiers in Psychiatry, 9(308), 1-10
- WHO (2022). Global Tuberculosis Report 2022. Geneva: World Health Organization
- Wu, H. & Zhang, J.T. (2006). Nonparametric Regression Methods for Longitudinal Data Analysis. New Jersey: John WIley and Sons, Inc
- Zigmond, A.S. & Snaith, R.P. (1983). The Hospital Anxiety and Depression Scale. Acta Psychiatrica Scandinavica, 67(6), 361-370
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