# Questions tagged [logistic]

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

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### Detecting collinearity in Logistic Regression model

I'm running a predictive model using the logistic model in SAS and, currently, I'm trying to perform some diagnostics about the collinearity issue in the estimated model. To do that, I followed step-...
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### Can a random effects intercept variable be highly but coincidentally correlated to a response variable?

Issue- I'm creating a logistic mixed model where the response variable (if a plot falls within an active bird lek area) is highly related to a term I may include as a random effects term (grazing ...
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### How to calculate odds ratio per unit decrease of continuous variable

I have a logistic regression model obtained in R comparing association between two index diagnoses (0 or 1) with Age (continuous) + ...
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### Mismatch Between the Parameters of a Logistic Regression in R and My Computed Parameters

By converting and by trying to interpret the parameters of a logistic regression ran in R, I just find them to be overestimated. Therefore I tried to compute them myself but I can not obtain the same ...
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### Sample size formula for multiple regression between binomial variables?

Let's say we have k binomial variables, and a sample size of n observations per variable, where each variable occurs (positive case) at a given frequency/probability f. We would like to check if ...
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### How should I interpret/follow-up on mixed logistic regression (GLMM) diagnostics?

I have experimental data (n subjects = 64) in which the response variable, accuracy (0 or 1), was measured 9 times within subjects. My predictor is Condition (A vs B) measured between subjects. I ...
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851 views

### Bootstrap logistic regression with rare events and rare outcomes and rare predictors

I am recently using bootstrap for statistical inference and confidence interval building in the setting of regression, especially logistic regression. In many works I've been doing I find that using ...
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### Marketing/Sales Mix/Response Models: approaches and comparisons

CV/SO Community: I am probably skirting (or crossing) the line of the preference for questions that can be answered vs. those that can (only) be discussed. That said, I'm trying to wrap my head ...
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### What is the best way to simultaneously fit multiple binomial and continuous predictors?

What is the most efficient way to fit a linear model w so that Y = w . X, where X is a ...
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506 views

### R - CV.GLMNET LASSO (binomial) variable reduction - highly correlated variables not zeroing out

I have a dataset of about n = 100,000 observations and p = 247 predictors with one binomial dependent variable (values are 0, 1) I run the following code in R: ...
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675 views

### Right-censored independent variable in Cox/logistic regression

I have a right-censored continuous independent variable that I want to include in a Cox regression. The variable is a physiologic test which is capped at a certain time, say 120 seconds, due to safety ...
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611 views

### Handling singular matrix / linear separation in multinomial logit regression

I am doing an analysis of a choice-based conjoint / discrete choice experiment. After using the mlogit.data function in the ...
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### Censored logistic regression

I have the following problem: We have data with a 0-1 outcome which can occur precisely once. It can occur at any time within a certain time period (say 3 years). For this data set, for some ...
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### Variable selection / Dataset reduction for large datasets (in R)

I'm working on a behavioral scorecard modelling exercise, and many of the decisions taken to date have been based on the experience of a consulting credit analyst (whose experience software-wise is ...