Analysis of overdispersed antenatal health care count data

Hossain, Zakir and Kabir, Enamul (2019) Analysis of overdispersed antenatal health care count data. In: Melbourne International Business and Social Science Research Conference 2019, 28-30 Sept 2019, Melbourne, Australia.

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Abstract

Overdispersion (or greater variability) in count data analysis is very common in many practical fields of health sciences. Ignorance of the presence of overdispersion by the researchers in such data analysis may cause misleading inferences and thus lead to incorrect interpretations of the results. Researchers should account for the consequences of overdispersion and need to select the correct choice of models for the analysis of such data. In this paper, Generalized Linear Models (GLMs) are applied in modelling and analysis of antenatal care (ANC) count data extracted from the Bangladesh Demographic and Health Survey (BDHS) 2014. Pearson chi-square and different score tests are used to investigate the effect of overdispersion in the analysis. Overdispersion is found to be significant in the antenatal health care count data and so appropriate modelling is used to produce valid inferences for the regression parameters. The zero-truncated negative binomial regression (0-NBR) is found to be the best choice for analysing such data while excluding zero counts. Study findings reveal that place of residence, order of birth, exposure to mass media, wealth index and education of mother have significant impacts on the ANC status of women during pregnancy in Bangladesh.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Other)
Refereed: Yes
Item Status: Live Archive
Additional Information: Oral presentation - Abstract only published in Proceedings. No evidence of copyright restrictions preventing deposit of Accepted Abstract.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sept 2019 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sept 2019 -)
Date Deposited: 05 Sep 2019 06:38
Last Modified: 03 Feb 2020 23:37
Uncontrolled Keywords: overdispersion, Pearson chi-square, antenatal care, zero-truncated negative binomial regression and incidence rate ratio
Fields of Research : 11 Medical and Health Sciences > 1117 Public Health and Health Services > 111799 Public Health and Health Services not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/36976

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