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How to adjust for multiple comparisons in logistic regression?
Rather than use an adjusted p-value, you could easily use an adjusted alpha level using the Bonferroni method. If you want to protect for an overall alpha of 0.05, then just divide 0.05 by the number of tests.
How are post hoc and multiple logistic regression different?
A model and it’s post-hoc are two different analysis and do not actually have to agree. For instance, multiple comparisons dictate the p-value adjustment (i.e. Tukey or Bonferroni), which makes the results less significant, then in the model.
Is it possible to correct for false positives in logistic regression?
While 5% is acceptable for one test/model, if we do run lots of regression models, then this 5% can result in a large number of false positives. In ANOVA, we could correct for multiple comparisons via the bonferroni/ holm etc, I don’t think this option is available in logistic model.
Is the Bonferroni method too conservative in logistic regression?
Bonferroni method is too conservative. I am testing multiple polymorphisms (hundreds), one per model though so that each model has one polymorphism, and one- two way, and one 3 way interaction term. Is there a simple SAS code in LOGISTCIC regression to do permutation test or FDR but utilizing the same LOGISTIC MODEL?
What does complete separation mean in logistic regression?
Complete or quasi-complete separation: Complete separation implies that only one value of a predictor variable is associated with only one value of the response variable. You can tell from the output of the regression coefficients that something is wrong.
Can you do diagnostics with multinomial logistic regression?
Diagnostics and model fit: Unlike logistic regression where there are many statistics for performing model diagnostics, it is not as straightforward to do diagnostics with multinomial logistic regression models. Some model fit statistics are listed in the output.
How are diagnostics different from Ols and logistic regression?
Diagnostics: The diagnostics for logistic regression are different from those for OLS regression. For a discussion of model diagnostics for logistic regression, see Hosmer and Lemeshow (2000, Chapter 5). Note that diagnostics done for logistic regression are similar to those done for probit regression.