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AN APPLICATION OF MULTIPLE LOGISTIC REGRESSION MODEL FOR PREDICTION OF UNMET NEED FOR FAMILY PLANNING OF MARRIED WOMEN IN KALABURAGI DISTRICT, KARNATA
Sujatha Inginshetty, Deepak Jamadar

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-9, pp.12-17, Sep 2016
DPI :-> 16.10046.IJCESR.2016.V4I9.1217.1970



Abstract
A valuable indicator for assessing the achievements of national family planning progrmme is the unmet need for family planning. The objective of this paper is to make a prediction of unmet need for family planning of married women in the age group of 15-49 years of Kalaburagi district of Karnataka state, India, using multiple logistic regression model and stepwise forward logistic regression model. Estimates of the parameters of the model, odds ratios and log likelihood values are computed. Testing of hypothesis of goodness of fit of the model is carried out by Hosmer and Lemeshow test.

Key-Words / Index Term
unmet need for family planning, multiple logistic regression model, stepwise logistic regression model

How to cite this article
Sujatha Inginshetty, Deepak Jamadar , “AN APPLICATION OF MULTIPLE LOGISTIC REGRESSION MODEL FOR PREDICTION OF UNMET NEED FOR FAMILY PLANNING OF MARRIED WOMEN IN KALABURAGI DISTRICT, KARNATA”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-9, pp.12-17, Sep 2016. DPI:16.10046.IJCESR.V4.I9.1970