Stratified Analysis (2 x 2 x k): 2 x 2 tables with k number of levels of confounding variable

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This utility can be used to do stratified analysis, to test confounding effect of a variable (with k number of possible levels of confounding variable)

Formula used and other details
Number of possible levels of confounding variable If gender is a confounding variable, then it will have 2 possible levels (M & F).
Significance level (Alpha or Type I error) % % In percentage. Commonly used values are 5, 1, 10.