I am trying to replicate and hopefully improve on an analysis done in a study to find determinants of patient satisfaction after shoulder surgery. Satisfaction is heavily skewed (with over 60% of ...
I've been skimming through a couple of books (all german ones, hence I do not cite them here) at what residual plots one should look at if the usual model assumptions in the context of a multinomial ...
Does it make sense and what is the correct approach to residualize a binary variable? For a continuous variable y, I simply run a regression that predicts ...
This question is sort of general and long-winded, but please bear with me. In my application, I have many datasets, each consisting of ~20,000 datapoints with ~50 features and a single dependent ...
1) Are there any particular assumptions regarding the errors for logistic regression such as the constant variance of the error terms and the normality of the residuals? 2) Also typically when you ...
I am working on an assignment involving a logistic regression model, where I need to plot the pearson standardized residuals against one of the predictors. Here's the basic setup: ...
This question arises from my actual confusion about how to decide if a logistic model is good enough. I have models that use the state of pairs individual-project two years after they are formed as a ...