Timeline for "controlling for" a variable in retrospective cohort studies
Current License: CC BY-SA 4.0
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Oct 21, 2018 at 0:57 | comment | added | Statsdunce | Also, I also thought, for instance, that one of the assumptions for logistic regression is that there is no multicollinearity, but when I make a full model based on intuition (ie, PhD, M/F, years in practice, H-index, and number of publications), years in practice, H index, and pubs are significantly correlated with each other - so then do I need to remove 2 of these measures? | |
Oct 21, 2018 at 0:56 | comment | added | Statsdunce | Thank you both, Isabella and a_statistician. Can you expound a little more on how to look into and check model diagnostics for the binary logistic regression model? What am I looking for in the pseudo R squared measures? Does it not matter that my goodness of fit tests have very high Chi-Square values (pearson = 225, deviance=131.686?). | |
Oct 21, 2018 at 0:13 | history | edited | Isabella Ghement | CC BY-SA 4.0 |
added 568 characters in body
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Oct 21, 2018 at 0:02 | history | answered | Isabella Ghement | CC BY-SA 4.0 |