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A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "general linear model" which extends the ordinary linear model to general covariance structure and multivariate response.)

9 votes
1 answer
30k views

Logistic regression in R returning NA values

First off, I'll say I am a biologist and new to the statistics side of things so excuse my ignorance I have a data set that consists of a binary outcome and then a bunch of trinary explanatory variab …
Davy Kavanagh's user avatar
4 votes
1 answer
4k views

Logistic Regression on very rare events - R

I am trying to run a logistic regression analysis in R using the speedglm package. CNVs are a type of genetic variant. We measure whether CNVs occur in cases or controls and whether genes in a pathwa …
Davy Kavanagh's user avatar