UNIVERSITAS AIRLANGGA



Detail Article

Jurnal Biometrika dan Kependudukan

ISSN 2302707X

Vol. 2 / No. 2 / Published : 2013-12

Order : 5, and page :131 - 139

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Original Article :

Aplikasi general linear mixed model (glmm) pada data longitudinal kadar trombosit demam berdarah dengue

Author :

  1. Fifi Nirmala*1
  2. Kuntoro*2
  3. Hari Basuki Notobroto*3
  1. Mahasiswa Fakultas Kesehatan Masyarakat
  2. Dosen Fakultas Kesehatan Masyarakat
  3. Dosen Fakultas Kesehatan Masyarakat

Abstract :

The use of longitudinal data of patients measured several periods of time with quantitative responses is common in medical research, such data are called repeated measurement ones. In those case, general linear mixed model (GLMM) is much more flexible to analyze those data. Dengue hemorrhagic fever (DHF) is one of health problems in tropical countries, including Indonesia. The main aim of this research was to model longitudinal data from platelets counts of DHF patients. This research was nonreactive or unobtrusive study by using medical records of DHF patients in Sidoarjo General Hospital from January until April 2013. There were 76 patients from DHF which were classified into grades 1, 2, and 3. Variables to analyzed were platelet count, grading the severity of DHF, and sex. The parameters of the model were estimated by maximum likelihood (ML) and restricted maximum likelihood (REML). The results showed that the platelets counts were influenced by grade DHF (p = 0.023), interaction of grade DHF with time measurement (p = 0.023) and interaction of grade DHF with sex (p = 0.001). Based on result it can be concluded, first, the mean platelet count for grade 1 DHF was 50.46 thousands/μl greater than grade 3  DHF. Second, the mean platelet count in 4th fever day was 18,75 thousands/μl for grade 1 and 29.31 thousands/μl for grade 3 DHF greater than 6th. The last, the mean platelet count for male in grade 1 DHF was 23.35 thousands/ μl greater than female. Further research is needed to applied this methode in longitudinal experimental study.

Keyword :

general linear mixed model (GLMM), dengue haemorrhagic fever (DHF), platelet count,


References :

Bell, M., Grunwald, G,(2004) Mixed Model for the Analysis of replicated spatial point patterns. Biostatistics, Volume 5, No. 4 London : Oxford University Press

Chakraborty, T,(2008) Dengue Fever and Other Hemorrhagic Viruses New york : Chelsea House Publishers

Chen, J., Zhang, D., Davidian, M,(2002) A Monte Carlo EM Algorithm for Generalized Linear Mixed Models with Flexible Random Effects Distribution. Biostatistics, Volume 3 No 3 London : Oxford University Press

Cook, G. C., Zumla, A. I,(2009) Tropical Diseases Inggris : Saunders Elsevier

Coull, B., Schwartz, J., Wand, M,(2001) Respiratory Health and Air Pollution: Additive Mixed Model Analyses. Biostatistics, Volume 2, No. 3 London : Oxford University Press

Gatot, D,(1999) Perubahan Hematologi pada Infeksi Dengue. Dalam S. Hadinegoro, dan H. Satari, Demam Berdarah Dengue: Naskah Lengkap Pelatihan bagi Pelatih, Dokter Spesialis Anak dan Dokter Spesialis Penyakit Dalam dalam Tatalaksana Kasus DBD Jakar



Archive Article

Cover Media Content

Volume : 2 / No. : 2 / Pub. : 2013-12
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  5. Aplikasi General Linear Mixed Model (glmm) Pada Data Longitudinal Kadar Trombosit Demam Berdarah Dengue
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  11. Riwayat Kesehatan Reproduksi Remaja Santri

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