UNIVERSITAS AIRLANGGA



Detail Article

Jurnal Biometrika dan Kependudukan

ISSN 2302707X

Vol. 4 / No. 2 / Published : 2015-12

Order : 8, and page :143 - 151

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Original Article :

Estimasi parameter model generalized poisson regression jumlah kematian ibu di jawa timur yang mengalami overdispersi

Author :

  1. Ika Ramadhan Wulandari*1
  2. Soenarnatalina Melaniani*2
  1. Dosen Fakultas Kesehatan Masyarakat
  2. Dosen Fakultas Kesehatan Masyarakat

Abstract :

Overdispersion occure when varians value of response greater than its mean and overdispersion on Poisson regression model result bias parameter estimation. Generalized Poisson Regression can be used as an alternative because it’s a regression method that can be used in overdispersion and underdispersion data. Maternal Mortality count in East Java is the one of discrete data. The study aimed to modelling maternal mortality count in East Java in 2013 with Generalized Poisson Regression to overcome overdispersion in Poisson Regression. Research was an unobtrusive study and data was gotten from the East Java Provincial Health Profile 2013. There was overdispersion because maternal mortality count has variance value (126,205) greater than mean (17), thus Generalized Poisson Regression used as an alternative. Predictors that influenced maternal mortality count was paramedic ratio towards civil population (p=0,0006), so the model of maternal mortality is() = exp [3,7619 - 0,028(X3)]. If nurse ratio increase 10% and other predictors constant, maternal mortality count will decrease 0,75 times if compared to before. Keywords: overdispersion, Poisson regression, maternal mortality count

Keyword :

overdispersion, Poisson regression, maternal mortality count,


References :

McCarthy, J. dan Maine, D,(1992) A Framework for Analyzing the Determinants of Maternal Mortality. 23 (1) : 23-33 : JSTOR,

Kuntoro,(2009) Dasar Filosofis Metodologi Penelitian Surabaya : Pustaka Melati

Manalu, H.S.P., Prasodjo, R.S., dan Kasnodiharjo,(2005) Persepsi Bumil terhadap Keberadaan Bidan di Desa 4 (3): 320-325 : Jurnal Ekologi Kesehatan

Casella, G. dan Berger, R.L,(1990) Statistical Inference California : Wadsworth, Inc

Grasa, A.A,(1989) Econometric Model Selection: A New Approach Kluwer : Springer Science and Bussiness Media

Arias, K.M,(2000) Investigasi dan Pengendalian Wabah di Fasilitas Pelayanan Kesehatan Jakarta : EGC





Archive Article

Cover Media Content

Volume : 4 / No. : 2 / Pub. : 2015-12
  1. Analisis Deret Berkala Dengan Metode Double Exponential Smoothing Dari Brown Dalam Meramalkan Jumlah Penderita Tb Paru
  2. Kondisi Demografi Sosio-ekonomi Dan Kesehatan Akseptor Vasektomi
  3. Pengaruh Dukungan Keluarga Terhadap Peningkatan Angka Sectio Caesarea
  4. Pengaruh Usia Menarche Usia Terakhir Melahirkan Dan Paritas Terhadap Usia Menopause
  5. Hubungan Dan Faktor Risiko Partus Lama, Riwayat Perdarahan Postpartum Dan Berat Bayi Lahir Besar Dengan Kejadian Perdarahan Postpartum
  6. Peramalan Jumlah Kunjungan Hemodialisis Dengan Metode Exponential Smoothing Dan Arima
  7. Pemodelan Binomial Negatif Untuk Mengatasi Overdispersi Data Diskrit Pada Kasus Baru Tb Di Provinsi Jawa Timur
  8. Estimasi Parameter Model Generalized Poisson Regression Jumlah Kematian Ibu Di Jawa Timur Yang Mengalami Overdispersi
  9. Pemodelan Regresi Logistik Backwardpada Faktor Risiko Kanker Serviks Di Yayasan Kanker Wisnuwardhana Surabaya
  10. Hubungan Budaya Patriarki Dan Pemahaman Informasi Kb Dengan Kepesertaan Kontrasepsi
  11. Peramalan Migrasi Masuk Kota Surabaya Tahun 2015 Dengan Metode Double Moving Averagedan Double Exponential Smoothing Brown
  12. Dukungan Informasi Tentang Menstruasi Kepada Anak Usia Sekolah Dasar
  13. Pemodelan Arima Jumlah Pencapaian Peserta Kb Baru Iud

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