COMPARISON OF COX’S AND WEIBULL REGRESSION MODELS IN ASSESSING THE PROGNOSTIC FACTORS FOR SURVIVAL OF ASTHMATIC PATIENTS

Ezekiel, ImekelaDonaldson and Aako, Olubisi Lawrence (2018) COMPARISON OF COX’S AND WEIBULL REGRESSION MODELS IN ASSESSING THE PROGNOSTIC FACTORS FOR SURVIVAL OF ASTHMATIC PATIENTS. International Journal of Current Innovation Research, 4 (11). pp. 1390-1394. ISSN 2395-5775

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Abstract

Survival analysis is a branch of statistics for analyzing events happen. Regression model to determine the model that best fits for Asthma data and observe factors that affect asthma patient’s length of stay in hospital. Kaplan survival rates of patients and to plot the graph of survival curves using data obtained from Federal Medical Centre, Abeokuta, Nigeria on Asthma patients. In using there was low survival rate from 14 days upward. Akaike Information Criterion (AIC) and Log likelihood methods were used to evaluate the two models. Weibull Regression Model had the least AIC value of 428.3163 with hig handling Asthma data as compared to Cox Regression Model with highest AIC value 485.2536 and least Log likelihood value of Regression Model could better determine the factors associated with the Asthma disease than the semi parametric Cox Proportional hazards model. Determinant factors such as sex, smoking, hereditary, obesity, environmental pollution and respiratory illness the length of stay in hospital of Asthma patients.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Mathematics
Depositing User:	Mr Taiwo Egbeyemi
Date Deposited:	03 Jul 2020 11:01
Last Modified:	03 Jul 2020 11:01
URI:	http://eprints.federalpolyilaro.edu.ng/id/eprint/891

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