Marwa Ahmed, M., Sanaa Ismail, S., Osman, M. (2003). Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test. test, 47(2), 182-192. doi: 10.21608/esju.2003.313786
Marwa Marwa Ahmed; Sanaa Sanaa Ismail; Magued Osman. "Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test". test, 47, 2, 2003, 182-192. doi: 10.21608/esju.2003.313786
Marwa Ahmed, M., Sanaa Ismail, S., Osman, M. (2003). 'Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test', test, 47(2), pp. 182-192. doi: 10.21608/esju.2003.313786
Marwa Ahmed, M., Sanaa Ismail, S., Osman, M. Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test. test, 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, Pages 182-192    PDF (5.36 M)
Document Type: Original Article
DOI: 10.21608/esju.2003.313786
Authors
Marwa Marwa Ahmed* ; Sanaa Sanaa Ismail* ; Magued Osman*
Dep.of Statistics, 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
Sample Size and Power Calculations - Likelihood Ratio Test; Non Centrality Parameter - Logistic Regression
Statistics
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