Kaz's calculator
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Odds ratio and Cox Index calculatin based on logistic regression results

Enter the intercept coefficient:


Enter the impact coefficient (or the coefficient of a binary variable of interest (e.g., gender):


Enter the sample size:

REFERENCE
WWC procedures handbook (see page. 14)
WWC standards slides (Definition of small sample size correction, slide 14)

Quality Control:
Professor Sandy Eckel explains how to interprete results of logistic regression models in this document. On page 7, she shows how gender predicts smoking. The intercept value was -3.058707. The gender effect was .967966. On slide 10, she shows that the odds ratio was 0.12. The sample size was 323 (this affects only the small sample adjustment factor, Omega). My calculator arrives at the same odds ratio.