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Matematika IPB

Beranda arrow Dosen & Pendukung arrow Daftar Tenaga Pendidik (Dosen)
 
Informasi Publikasi

Judul Artikel : Survival Analysis in Modeling the Birth Interval of the First Child in Indonesia
Penulis : Rahmat Hidayat, Hadi Sumarno, Endar H. Nugrahani (2014)
Judul Publikasi : Open Journal of Statistics Vol.4 No.3 hal. 198-206
Nama Penerbit : Scientific Research Publishing Inc.
Jenis : artikel jurnal
Bahasa : Inggris
Abstrak : First birth interval is one of the examples of survival data. One of the characteristics of survival
data is its observation period that is fully unobservable or censored. Analyzing the censored data
using ordinary methods will lead to bias, so that reducing such bias required a certain method
called survival analysis. There are two methods used in survival analysis that are parametric and
non-parametric method. The objective of this paper is to determine the appropriate method for
modeling the birth of the first child. The exponential model with the inclusion of covariates is used
as parametric method, considering that the newly married couples tend to have desire for having
baby as soon as possible and such desire will be weakened by increasing age of marriage. The data
that will be analyzed were taken from the Indonesia Demographic and Health Survey (IDHS) 2012.
The result of data analysis shows that the birth of the first child data is not exponentially distributed
thus the Cox proportional hazard method is used. Because of the suspicion that disproportional
covariate exists, then the proportional hazard test is conducted to show that the covariate of
age is not proportional, the generalized Cox proportional method is used, namely Cox extended that
allows the inclusion of disproportional covariates. The result of analysis using Cox extended model
indicates that the factors affecting the birth of the first child in Indonesia are the area of residence,
educational history and its age.
URL : link
 
Link Penulis
No Nama Dosen
1 Dr. Ir. Endar H. Nugrahani, MS.
2 Dr. Ir. Hadi Sumarno, MS.

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