On optimal GQL estimation approach for longitudinal dynamic binary model: application to the maternal morbidity data of Bangladesh

Authors

  • Farzana Afroz Department of Statistics, Biostatistics & Informatics, University of Dhaka, Dhaka-1000
  • Wasimul Bari Department of Statistics, Biostatistics & Informatics, University of Dhaka, Dhaka-1000

DOI:

https://doi.org/10.3329/bjsr.v26i1-2.20227

Keywords:

Antenatal care, dependence parameter, longitudinal binary data, NLBD model, OGQL estimation approach

Abstract

A longitudinal non-linear binary dynamic (NLBD) model which provides a full range for the longitudinal correlation parameter was attempted to analyze longitudinal morbidity data for determining the potential determinants of antenatal care (ANC) seeking behavior of pregnant women during their pregnancies. The regression and dependence parameters were estimated by optimal generalized quasilikelihood (OGQL) estimation approach. The estimate of dependence parameter was found to be significantly large. Age at marriage, economic status, husband's occupation, distance from health facility and numbers of previous pregnancies were found to have significant impact on the ANC seeking behavior

DOI: http://dx.doi.org/10.3329/bjsr.v26i1-2.20227

Bangladesh J. Sci. Res. 26(1-2): 21-28, December-2013

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Published

2014-08-27

How to Cite

Afroz, F., & Bari, W. (2014). On optimal GQL estimation approach for longitudinal dynamic binary model: application to the maternal morbidity data of Bangladesh. Bangladesh Journal of Scientific Research, 26(1-2), 21–28. https://doi.org/10.3329/bjsr.v26i1-2.20227

Issue

Vol. 26 No. 1-2 (2013)

Section

Articles