Quantiles regression approach to identifying the determinant of breastfeeding duration

Mokhtar Mahdiyah, Wan Norsiah Mohamed, Kamarulzaman Ibrahim

Research output: Contribution to journalArticle

Abstract

In this study, quantiles regression approach is applied to the data of Malaysian Family Life Survey (MFLS), to identify factors which are significantly related to the different conditional quantiles of the breastfeeding duration. It is known that the classical linear regression methods are based on minimizing residual sum of squared, but quantiles regression use a mechanism which are based on the conditional median function and the full range of other conditional quantile functions. Overall, it is found that the period of breastfeeding is significantly related to place of living, religion and total number of children in the family.

Original languageEnglish
Pages (from-to)540-544
Number of pages5
JournalJournal of Applied Sciences
Volume8
Issue number3
Publication statusPublished - 2008

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determinants
regression
number of children
Religion

Keywords

  • Breastfeeding
  • Conditional quantiles regression

ASJC Scopus subject areas

  • General

Cite this

Quantiles regression approach to identifying the determinant of breastfeeding duration. / Mahdiyah, Mokhtar; Mohamed, Wan Norsiah; Ibrahim, Kamarulzaman.

In: Journal of Applied Sciences, Vol. 8, No. 3, 2008, p. 540-544.

Research output: Contribution to journalArticle

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