Tagged Questions

Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression

103 views

Adding proportions as features to logistic regression

I'm setting up a logistic regression that models a probability $\mathbb{P}_t$ of certain events. The probability is changing over time and I want to add proportions of past observations that estimate ...
43 views

Has anyone written a package in R to calculate diagnostic plots after clogit (conditional logistic regression)? e.g. leverage

Has anyone written a package in R to calculate diagnostic plots after clogit, conditional logistic regression? e.g. leverage. Or ...
25 views

85 views

Effective validity of AUROC as performance measure: what about “very high” AUROC values?

The Area Under ROC curve (AUROC) is a quantity used to quantify performance of classifiers. I am currently interested in the most basic drawbacks of using AUROC as unique performance measure. I got ...
258 views

Estimating logistic regression coefficients in a case-control design when the outcome variable is not case/control status

Consider sampling data from a population of size $N$ in the following way: For $k=1, ..., N$ Observe individual $k$'s "disease" status If they have the disease, include them in the sample with ...
123 views

How to fit a logistic regression for 1 dependent variable and 1 qualitative variable measured twice

I am struggling to fit a simple logistic regression for one dependent value (group) by one independent qualitative variable (dilat) measured twice independently (rater). I try many solutions and ...
126 views

Is there overfitting in my modelling approach despite cross-vaidation?

My model is predicting a binomial dependent variable with a rich feature space of 20,000 independent variables. I am using the penalized logistic regression from the glmnet package, which works for ...
57 views

What does a huge gap between P values of the same predictor computed in bootstrapped and non-bootstrapped versions of the same regression mean?

My binary logistic regression gives P values significant at 0.05 level for some of the modeled independent variables. However, bootstrapping the same regression model gives P values significant at ...
75 views

Number of levels in categorical predictors/combining categories in logistic regression

I have an independent variable “State in the US” and it has around 16 different levels (PA, NY, NJ, etc). Now I have combined the states which appear infrequently into "others" category. But I still ...
112 views

Logistic Regression/Naive Bayes with highly correlated data

Background: We work with data from sports event, more accurately with data about the spectators of sports events: how many people are being violent, what kind of event is this, etc. We have quite a ...
99 views

Interpreting Intercept when doing logistic regression with categorical data in R

In R I have a categorical variable that I performed logistic regression on and got the following result: ...
136 views

Application of Logistic Regression

I have the following data set: ...
150 views

Inclusion of significant interaction term in logistic regression table versus stratification for data presentation

This is a general question on logistic regression result reporting for a publication. We have an example where two well correlated ($r=0.4, p=0.001$) blood parameters (...
72 views

Overlap between robust glm and weighted glm in R

I sometimes have to vectorise the Huber weights from a robust regression and use them in a lm. Recently I've had to do something similar for a logistic model but I'm slightly worried because I don't ...