REGRESSION OF SURVIVAL DAGUM 3 PARAMETER LINK FUNCTION IN HIV/AIDS PATIENTS IN EAST JAVA

  • Nur Mahmudah Department of Statistics, Faculty of Sciences and Technology, Universitas Nahdlatul Ulama Sunan Giri, Indonesia https://orcid.org/0000-0001-5811-3647
  • Ifa Khoiria Ningrum Graduate of Law Economic Syariah, Universitas Nahdlatul Ulama Sunan Giri, Indonesia
Keywords: Bayesian, Dagum 3 Parameter, HIV/AIDS, Regression Survival

Abstract

AIDS (Acquired Immuno Deficiency Syndrome) is is a symptom of blood cell disease which results in decreased immunity in humans. HIV/AIDS causes a decline in economic productivity, health, and environmental fields, so it needs treatment to reduce the spread of the disease in East Java. The spread of the HIV/AIDS virus is growing rapidly both in terms of region and pattern of spread. Therefore, it is necessary to have policies from the government to prevent the spread of HIV/AIDS through mathematical modeling to determine the actual and comprehensive factors that influence HIV/AIDS care. policies needed to handle and reduce HIV/AIDS in East Java. This study aims to determine the factors that influence the care of people with HIV/AIDS with Survival Regression modeling Dagum 3 Parameter link function. This model uses parameter estimation with a Bayesian analysis approach with the results that the factors that significantly influence the length of HIV/AIDS care in East Java are marital status (X5), absolute CD4 levels (X7), Suffering Stage (X8), Functional State (X9), and Therapy adherence (X10). These results indicate that marital status and condition characteristics of HIV/AIDS sufferers are important information in the socialization program for reducing HIV/AIDS in East Java.

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References

dkk Arum. “Analisis Survival Penderita HIV/AIDS di RSUD Prof. Dr. Soekandar Kabupaten Mojokerto.” J. Hosp. Majapahit. vol. 11(1). no. 1. pp. 47–59. 2019.

V. elok latifatul Kolbi. “Faktor-Faktor Yang Mempengaruhi Kualitas Hidup Orang Dengan Hiv/Aids (ODHA).” Media Gizi Kesmas. vol. 11. no. 2. pp. 643–653. 2022. doi: 10.20473/mgk.v11i2.2022.643-653.

L. P. N. Artati. “Studi Survey: Lost To Follow Up Pada Orang Dengan HIV/AIDS Di Wilayah Kabupaten Badung.” J. Nurs. Res. Publ. Media. vol. 1. no. 1. pp. 35–41. 2022. doi: 10.55887/nrpm.v1i1.5.

N. Mahmudah et al.. “BAYESIAN REGRESI SURVIVAL PADA PROSES KEJADIAN HIV / AIDS DI JAWA TIMUR”.

R. Rinaldy Billjudika. A. Agung. and S. Sawitri. “Prediktor Immunological Failure Pada Populasi Umum Pasien Hiv/Aids Di Kabupaten Badung. Bali: Studi Kohort Retrospektif.” Med. Udayana. vol. 8. no. 7. p. 2019. 2019. [Online]. Available: https://ojs.unud.ac.id/index.php/eum

I. G. Ngurah et al.. “Di Rsud Kabupaten Buleleng.” vol. 6. no. 2. pp. 212–216. 2020. [Online]. Available: http://ejurnalmalahayati.ac.id/index.php/kebidanan/article/download/2435/pdf

S. Omar and R. M. Cusairi. “The use of plants in traditional medicine among the Siamese community in Kedah.” Indian J. Public Heal. Res. Dev.. vol. 9. no. 11. pp. 1672–1681. 2018. doi: 10.5958/0976-5506.2018.01683.2.

D. W. Gunda. I. Nkandala. S. B. Kilonzo. B. B. Kilangi. and B. C. Mpondo. “Prevalence and Risk Factors of Mortality among Adult HIV Patients Initiating ART in Rural Setting of HIV Care and Treatment Services in North Western Tanzania: A Retrospective Cohort Study.” J. Sex. Transm. Dis.. vol. 2017. pp. 1–8. 2017. doi: 10.1155/2017/7075601.

E. Yusra. E. Efrida. and E. Sy. “Hubungan Karakteristik Klinis dengan Pemulihan Respons Imun Penderita HIV-1 yang Mendapat Terapi Antiretroviral di RSUP Dr. M. Djamil Padang.” J. Kesehat. Andalas. vol. 7. no. 3. p. 436. 2018. doi: 10.25077/jka.v7i3.899.

C. G. Chiu et al.. “Overview of cancer incidence and mortality among people living with HIV/AIDS in British Columbia. Canada: Implications for HAART use and NADM development.” BMC Cancer. vol. 17. no. 1. pp. 1–9. 2017. doi: 10.1186/s12885-017-3229-1.

J. E. Volume et al.. “1 . 2 . 3 3.” vol. 13. pp. 123–130. 2022.

D. F. Moore. Moore - Unknown - Analysis Using R - Unknown. 2016.

D. R. Cox and D. Oakes. “Several types of failure.” Anal. Surviv. Data. pp. 142–155. 2018. doi: 10.1201/9781315137438-9.

B. Audina and M. Fatekurohman. “Analisis Survival pada Data Pasien Covid 19 di Kabupaten Jember.” Berk. Sainstek. vol. 8. no. 4. p. 118. 2020. doi: 10.19184/bst.v8i4.18411.

N. Mahmudah and F. Anggraeni. “Bayesian Survival Dagum 3 Parameter Link Function Models in the Suppression of Dengue Fever in Bojonegoro.” IAENG Int. J. Appl. Math.. vol. 51. no. 3. pp. 1–7. 2021.

J. Li and S. Ma. “Survival Analysis in Medicine and Genetics.” Surviv. Anal. Med. Genet.. 2013. doi: 10.1201/b14978.

S. Analysis. Survival Analysis Survival Analysis. Chapman and Hall/CRC. 1997. [Online]. Available: file:///C:/Users/karla/AppData/Local/Swiss Academic Software/Citavi 6/ProjectCache/unezf2hn3s4m3b60u72t31mfi52wdbzgg4iq3l232lf7d7ew/Citavi Attachments/ad46db08-5387-48df-8b30-63dcf52f307c.pdf TS - CrossRef

P. J. Smith. Bayesian Methods for Data Analysis Analysis of Failure and Survival Data. 2008.

N. Mahmudah and F. Anggraini. “on Computational Bayesian Ordinal Logistic Regression Link Function in Cases of Cervical Cancer in Tuban.” BAREKENG J. Ilmu Mat. dan Terap.. vol. 16. no. 3. pp. 909–918. 2022. doi: 10.30598/barekengvol16iss3pp909-918.

J. Lita Da Silva et al.. “Studies in Theoretical and Applied Statistics Selected Papers of the Statistical Societies Advances in Regression. Survival Analysis. Extreme Values. Markov Processes and Other Statistical Applications.” pp. 1–456. 2013. [Online]. Available: http://www.springer.com/series/10104

Y. Ding-Genggchen and H. Tzong-Ruutsaiieditors. “Emerging Topics in Statistics and Biostatistics Bayesian Inference and Computation in Reliability and Survival Analysis.”

F. Khairunnisa. F. Saumi. and A. Amelia. “Survival Analysis of Dengue Hemorrhagic Fever Patients (Dhf).” BAREKENG J. Ilmu Mat. dan Terap.. vol. 16. no. 3. pp. 897–908. 2022. doi: 10.30598/barekengvol16iss3pp897-908.

F. Anggraeni and N. Mahmudah. “Bayesian Spatial Survival Lognormal 3 Parameter Models for Event Processes Dengue Fever in Tuban.” IAENG Int. J. Appl. Math.. vol. 51. no. 4. pp. 1–8. 2021.

T. Emura. S. Matsui. and V. Rondeau. Survival Analysis with Correlated Endpoints: Joint Frailty-Copula Models. 2019. [Online]. Available: http://www.springer.com/series/13497

N. Mahmudah and H. Pramoedyo. “Pemodelan Spasial Survival Weibull-3 Parameter dengan Frailty Berdistribusi Conditionally Autoregressive ( CAR ).” vol. 3. no. 1. pp. 93–102. 2015.

A. Çelik et al.. “No 主観的健康感を中心とした在宅高齢者における 健康関連指標に関する共分散構造分析Title.” J. Mater. Process. Technol.. vol. 1. no. 1. pp. 1–8. 2018. [Online]. Available: http://dx.doi.org/10.1016/j.cirp.2016.06.001%0Ahttp://dx.doi.org/10.1016/j.powtec.2016.12.055%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006%0Ahttps://doi.org/10.1016/j.matlet.2019.04.024%0Ahttps://doi.org/10.1016/j.matlet.2019.127252%0Ahttp://dx.doi.o

S. K. Au. Operational modal analysis: Modeling. bayesian inference. uncertainty laws. 2017. doi: 10.1007/978-981-10-4118-1.

N. Mahmudah and P. E. Yuwita. “Journal of Mathematics Education Aplikasi komputasi Bayesian Regresi Dummy Pada kasus.” no. c. 2022.

H. Crc and X. Wang. Computer Science and Data Analysis Series BAYESIAN REGRESSION Baruch College . The City University of New York.

S. Cohen. “Bayesian analysis in natural language processing. second edition.” Synth. Lect. Hum. Lang. Technol.. vol. 12. no. 1. pp. 1–343. 2019. doi: 10.2200/S00905ED2V01Y201903HLT041.

F. Korner-Nievergelt. T. Roth. S. von Felten. J. Guélat. B. Almasi. and P. Korner-Nievergelt. Bayesian Data Analysis in Ecology Using Linear Models with R. BUGS. and Stan. 2015. doi: 10.1016/C2013-0-23227-X.

J. Barry. “Doing Bayesian Data Analysis: A Tutorial with R and BUGS.” Eur. J. Psychol.. vol. 7. no. 4. 2011. doi: 10.5964/ejop.v7i4.163.

T. Ten. M. Books. and O. Bayesian. R ev iew s o f B a y es ’ R ule : A T u torial In trod u ction.

C. A. Stone and X. Zhu. Bayseian Analysis of Item Response Theory Models Using SAS ®. 2015. [Online]. Available: https://www.sas.com/store/books/series/analytics/bayesian-analysis-of-item-response-theory-models-using-sas-/prodBK_67262_en.html

A. K. Umeta. S. F. Yermosa. and A. G. Dufera. “Bayesian parametric modeling of time to tuberculosis co-infection of HIV/AIDS patients at Jimma Medical Center. Ethiopia.” Sci. Rep.. vol. 12. no. 1. pp. 1–18. 2022. doi: 10.1038/s41598-022-20872-7.

S. N. Al-Aziz. A. Hassan Muse. T. M. Jawad. N. Sayed-Ahmed. R. Aldallal. and M. Yusuf. “Bayesian inference in a generalized log-logistic proportional hazards model for the analysis of competing risk data: An application to stem-cell transplanted patients data.” Alexandria Eng. J.. vol. 61. no. 12. pp. 13035–13050. 2022. doi: 10.1016/j.aej.2022.06.051.

G. Buta. A. Goshu. and H. Worku. “Bayesian Joint Modelling of Disease Progression Marker and Time to Death Event of HIV/AIDS Patients under ART Follow-up.” Br. J. Med. Med. Res.. vol. 5. no. 8. pp. 1034–1043. 2015. doi: 10.9734/bjmmr/2015/12907.

Published
2024-05-25
How to Cite
[1]
N. Mahmudah and I. Ningrum, “REGRESSION OF SURVIVAL DAGUM 3 PARAMETER LINK FUNCTION IN HIV/AIDS PATIENTS IN EAST JAVA”, BAREKENG: J. Math. & App., vol. 18, no. 2, pp. 0725-0736, May 2024.