Abstract
The objective of this study was to map the infant mortality cases over Peninsular Malaysia by district for the period of 1991 to 2000. Relative risks estimation based on empirical Bayes method was used in this study. Three methods of estimation were described which include moment method, maximum likelihood method and combination of moment and maximum likelihood method. The robustness of the parameters estimation was examined using Bootstrap method. The study indicated that the gap between the low risk areas and the high risk areas are larger in the early decade of 2000 compared to the early 1990s eventhough the infant mortality rate is declining at the national level. The east coast areas of the Peninsular Malaysia still remain in the high risk category over the period of the study. Moreover, the maps obtained indicated the occurrence of clustering effect in the infant mortality risk. Based on the Bootstrap method, all parameters estimation obtained in this study were robust.
| Original language | Undefined/Unknown |
|---|---|
| Pages (from-to) | 527-535 |
| Number of pages | 9 |
| Journal | Sains Malaysiana |
| Volume | 40 |
| Issue number | 5 |
| Publication status | Published - May 2011 |
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Keywords
- Bootstrap
- Empirical Bayes method
- Infant mortality
- Relative risk
ASJC Scopus subject areas
- General
Cite this
Pemetaan kes kemortalan bayi di semenanjung Malaysia menggunakan kaedah bayes empirik. / Rahman, Nuzlinda Abdul; Jemain, Abdul Aziz; Ibrahim, Kamarulzaman; Razali, Ahmad Mahir.
In: Sains Malaysiana, Vol. 40, No. 5, 05.2011, p. 527-535.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Pemetaan kes kemortalan bayi di semenanjung Malaysia menggunakan kaedah bayes empirik
AU - Rahman, Nuzlinda Abdul
AU - Jemain, Abdul Aziz
AU - Ibrahim, Kamarulzaman
AU - Razali, Ahmad Mahir
PY - 2011/5
Y1 - 2011/5
N2 - The objective of this study was to map the infant mortality cases over Peninsular Malaysia by district for the period of 1991 to 2000. Relative risks estimation based on empirical Bayes method was used in this study. Three methods of estimation were described which include moment method, maximum likelihood method and combination of moment and maximum likelihood method. The robustness of the parameters estimation was examined using Bootstrap method. The study indicated that the gap between the low risk areas and the high risk areas are larger in the early decade of 2000 compared to the early 1990s eventhough the infant mortality rate is declining at the national level. The east coast areas of the Peninsular Malaysia still remain in the high risk category over the period of the study. Moreover, the maps obtained indicated the occurrence of clustering effect in the infant mortality risk. Based on the Bootstrap method, all parameters estimation obtained in this study were robust.
AB - The objective of this study was to map the infant mortality cases over Peninsular Malaysia by district for the period of 1991 to 2000. Relative risks estimation based on empirical Bayes method was used in this study. Three methods of estimation were described which include moment method, maximum likelihood method and combination of moment and maximum likelihood method. The robustness of the parameters estimation was examined using Bootstrap method. The study indicated that the gap between the low risk areas and the high risk areas are larger in the early decade of 2000 compared to the early 1990s eventhough the infant mortality rate is declining at the national level. The east coast areas of the Peninsular Malaysia still remain in the high risk category over the period of the study. Moreover, the maps obtained indicated the occurrence of clustering effect in the infant mortality risk. Based on the Bootstrap method, all parameters estimation obtained in this study were robust.
KW - Bootstrap
KW - Empirical Bayes method
KW - Infant mortality
KW - Relative risk
UR - http://www.scopus.com/inward/record.url?scp=79957976155&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957976155&partnerID=8YFLogxK
M3 - Article
VL - 40
SP - 527
EP - 535
JO - Sains Malaysiana
JF - Sains Malaysiana
SN - 0126-6039
IS - 5
ER -