Just a general question concerning the woolf test (package vcd), when we have stratified data (2x2 tables) and when the p.value of the woolf-test is below 0.05 then we assume that there is a heterogeneity and a common odds ratio cannot be computed? Does this mean that we have to try to add more stratification variables (stratify more) to make the woolf-test p.value insignificant? Also in the same package there is an oddsratio function that seems to be calculating the odds ratio even when the values are non-integers and even when one cell has a null value (in contrast to the mantel_hanszel or the fisher exact test that do not admit zero values or non-integers) does anyone know what's the difference and how to optain a p.value on that odds ratio? Thanks -- View this message in context: http://www.nabble.com/Woolf%27s-test%2C-Odds-ratio%2C-stratification-tf3284589.html#a9136458 Sent from the R help mailing list archive at Nabble.com.
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