ANALISIS SURVIVAL MENGGUNAKAN REGRESI WEIBULL PADA LAJU KESEMBUHAN PASIEN TUBERKULOSIS PARU DI RSUD ALOEI SABOE KOTA GORONTALO
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D. M. Purnamasari, “Tuberkulosis Masih Jadi Ancaman, Indonesia Negara dengan Beban TB Tertinggi Ketiga,” KOMPAS.COM, 2021. [Online]. Available: https://nasional.kompas.com/read/2021/03/25/09171841/tuberkulosis-masih-jadi-ancaman-indonesia-negara-dengan-beban-tb-tertinggi?page=all. [Accessed: 09-Jun-2021]
A. Saidi, “Stigma Pengobat TBC Dan Mitos Terengi,” Dinas Kesehatan Provinsi Gorontalo, 2021. [Online]. Available: https://dinkes.gorontaloprov.go.id/stigma-pengobat-tbc-dan-mitos-terengi/. [Accessed: 15-Jun-2021]
D. G. Kleinbaum and M. Klein, Survival Analysis. New York, NY: Springer New York, 2012.
D. Collett, Modelling Survival Data in Medical Research, Third Edition. Bristol, UK: Chapman and Hall/CRC, 2015.
P. D. Allison, Survival Analysis Using SAS:A Practical Guide. Cary, N.C.: SAS Institute, 1995.
A. Solehah and M. Fatekurohman, “Analisis Ketahanan Hidup Pasien Kanker Paru Menggunakan Regresi Weibull,” Indones. J. Appl. Stat., vol. 1, no. 2, pp. 79–87, 2019, doi: 10.13057/ijas.v1i2.25276.
J. Yolanda and F. T. Kristanti, "Analisis Survival Pada Financial Distress Menggunakan Model Cox Hazard," BALANCE: Economic, Business, Management and Accounting Journal, vol. 17, no. 2, pp. 21-31, 2020.
K. R. Pranita and F. T. Kristanti, "Analisis Financial Distress Menggunakan Analisis Survival." Nominal: Barometer Riset Akuntansi dan Manajemen, vol. 9, no. 2, pp. 62-79, 2020.
B. Audina and M. Fatekurohman, "Analisis Survival pada Data Pasien Covid 19 di Kabupaten Jember," Berkala Sainstek, vol. 8, no. 4, pp. 118-121, 2020.
S. Sulantari and W. Hariadi, "Analisis Survival Waktu Sembuh Pasien Covid-19 di Kabupaten Banyuwangi." Transformasi: Jurnal Pendidikan Matematika dan Matematika, vol. 4, no. 2, pp. 375-386, 2020.
D. Lukitasari, A. Setiawan, and L. R. Sasangko, “Bayesian Survival Analysis untuk Mengestimasi Parameter Model Weibull-Regression pada Kasus Ketahanan Hidup Pasien Penderita Jantung Koroner,” d’CARTESIAN, vol. 4, no. 1, pp. 26–33, 2015, doi: 10.35799/dc.4.1.2015.7531.
A. R. Baghestani, S. S. Moghaddam, H. A. Majd, M. E. Akbari, N. Nafissi, and K. Gohari, “Survival analysis of patients with breast cancer using weibull parametric model,” Asian Pacific J. Cancer Prev., vol. 16, no. 18, pp. 8567–8571, 2016, doi: 10.7314/APJCP.2015.16.18.8567.
M. Kazempour-Dizaji, A. Kazemnejad, P. Tabarsi, and F. Zayeri, “Estimation of Ten-Year survival of patients with pulmonary tuberculosis based on the competing risks model in Iran,” Tanaffos, vol. 15, no. 1, pp. 37–43, 2016.
S. Daniel, K. E. Lasisi, and J. Banister, “Application of Survival Analysis of TB Patients Using Parametric Model: A Case Study of General Hospital Bayara,” Asian J. Probab. Stat., vol. 6, no. 4, pp. 54–65, 2020, doi: 10.9734/ajpas/2020/v6i430169.
S. S. Rajak, S. Ismail, and R. Resmawan, “Metode Conditional Autoregressive dalam Analisis Penyebaran Kasus Penyakit Tuberculosis,” Jambura J. Probab. Stat., vol. 2, no. 1, pp. 28–34, Apr. 2021, doi: 10.34312/jjps.v2i1.9771.
DOI: https://doi.org/10.34312/euler.v9i1.10758
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