UNIVERSITAS AIRLANGGA



Detail Article

Jurnal Biometrika dan Kependudukan

ISSN 2302707X

Vol. 2 / No. 1 / Published : 2013-07

Order : 10, and page :75 - 81

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Original Article :

Mixture modeling survival case study of hiv / aids at vct clinic / hospital dr cst. kariadi semarang

Author :

  1. Sigit Ari Saputro *1
  2. Soenarnatalina Melaniani*2
  3. Arief Wibowo*3
  4. Bambang Wijanarko*4
  5. Muchlis Achsan Sofro*5
  1. Departemen Biostatistika dan Kependudukan Fakultas Kesehatan Masyarakat, Universitas Airlangga, Surabaya
  2. Departemen Biostatistika dan Kependudukan Fakultas Kesehatan Masyarakat, Universitas Airlangga, Surabaya
  3. Departemen Biostatistika dan Kependudukan Fakultas Kesehatan Masyarakat, Universitas Airlangga, Surabaya
  4. Jurusan Statistika Fakultas Matematika dan Ilmu Pengetahuan Alam Institut Teknologi Sepuluh Nopember Surabaya
  5. RSUP Dr. Kariadi Semarang

Abstract :

A cohort study HIV/AIDS was conducted in Kariadi hospital and used simple random sampling method. Theobjective were to determine which factors are associated with survival time of HIV/AIDS. Factors that infl uencewith survival time of HIV/AIDS patient’s included age, gender, education level, working status, marital status,antiretroviral therapy, CD4 counts, opportunistic infections, functional status, stadium and adherence. Thisresearch employed Mixture Survival analysis with cox regression of proportional hazard. This model consist oftwo distribution of survival .They are higher risk sub population and lower risk sub population of HIV infection.The result of cox proportional hazard regression mixture analysis by its population at risk classifi cation showsthat the resulting model for each component risk is different based on percentage of survival time. Analysis ofmultivariate Cox proportional hazards models were constructed for each to evaluate trends in the RR of HIVrelated death. Multivariate cox regression in higher status risk group resulted that education level (HR = 1. 826 ,CI: 1.048–3.182 ), CD4 counts (HR = 0.995 , CI: 0.991–0.999), functional status (HR = 3.063, CI: 1.670–5.617)and adherence (HR = 0.235, CI: 0.127–0.436) have signifi cant with survival time. The other non risk grouprepresented age (HR = 0.903, CI: 0.825–0.988), marital status (HR = 0.031, CI: 0.002–0.575), CD4 counts(HR = 0.992, CI: 0.986–0.999), opportunistic infections (HR = 7.734, CI: 1.477–40.503) and adherence(HR = 0.247, CI: 0.098–0.625) have signifi cant with survival time. Estimation mixture Weibull parameter showsmodel contribution that 96,37% survival time from higher risk sub population. Further research is needed todetermine the other survival modeling why such disparities of subpopulation hazard proportion.

Keyword :

HIV/AIDS, mixture survival, cox proportional hazard,


References :

Collet,(1994) Modelling Survival Data in Medical Research London : Chapman and Hall

Grambsch, T.M.T.A.P.M.,(2007) Modelling Survival Data Extending Cox Model Minnesota USA : Springer

Kalbleisch,(2002) The Statistical Analysis of Failure Time Data London : John Willey Intercience

Kleinbaum, D.G.,(2012) Survival Analysis London : Springer

UNAIDS,(2012) UNAIDS Report on the Global AIDS Epidemic 2012 Geneva : WHO





Archive Article

Cover Media Content

Volume : 2 / No. : 1 / Pub. : 2013-07
  1. Spontaneous Abortion In Early Marriage
  2. Factors Associated With Sexual Behavior Premarital Adolescent Community Scavengers In Surabaya
  3. Identification Of Factors Influencing The Exclusion Of Family Planning Post-natal
  4. Health Card Usage Effectiveness (kms): Electronics Improving Services To Speed​​, Simplify Data Collection And Decision Making Health Status In Posyandu
  5. Role Of Teachers In Adolescent Reproductive Health Education Deaf (studies Of Work Majesty Smplb-b Surabaya)
  6. Factor Analysis Of Early Menarche Age Relations
  7. Factors That Influence The Anxiety Scores In Women Menopause
  8. The Role Of The Midwife In Perception Mother In Mother's Rights Complete Pregnancy Pregnant During Examination (k1-k4)
  9. Socio-demographic Conditions Of Eligible Couples (efa) And The Role Of The Husband Of The Maternal Health Preparedness
  10. Mixture Modeling Survival Case Study Of Hiv / Aids At Vct Clinic / Hospital Dr Cst. Kariadi Semarang
  11. Effect Of Correction In Patients With Myopia Glasses The Student Achievement Grade Vii Junior High School 34 Surabaya
  12. Comparison Of Methods Arima (box Jenkins) And Method Of Winter Forecasting The Number Of Cases Of Dengue Fever

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