Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test
Ahmed, M., Ismail, S., Osman, M. (2003). Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test. EKB Journal Management System, 47(2), 182-192. doi: 10.21608/esju.2003.313786
Marwa Ahmed; Sanaa Ismail; Magued Osman. "Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test". EKB Journal Management System, 47, 2, 2003, 182-192. doi: 10.21608/esju.2003.313786
Ahmed, M., Ismail, S., Osman, M. (2003). 'Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test', EKB Journal Management System, 47(2), pp. 182-192. doi: 10.21608/esju.2003.313786
Ahmed, M., Ismail, S., Osman, M. Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test. EKB Journal Management System, 2003; 47(2): 182-192. doi: 10.21608/esju.2003.313786

Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test

The Egyptian Statistical Journal
Article 6, Volume 47, Issue 2, December 2003, Page 182-192  XML PDF (5.36 MB)
Document Type: Original Article
DOI: 10.21608/esju.2003.313786
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Authors
Marwa Ahmed* 1; Sanaa Ismail1; Magued Osman2
1Department of Statistics, Faculty of Economics and Political Science. Cairo University
2Department of Statistics, Faculty of Economics and Political Science. Cairo University.
Abstract
An asymptotic approach for conducting power analysis is described for the multiple logistic regression model. It is based on the likelihood ratio test statistic. The noncentrality parameter is expressed as an explicit function of the sample size, which makes sample size and power calculations of a straightforward nature.
 
Keywords
Multiple logistic regression model; Likelihood Ratio Test; Non-Centrality Parameter
Statistics
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