# Questions tagged [logistic]

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

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### Logistic regression with binomial independent variable

I have a table of observations, with three columns --- (a) class labels (can be 0 or 1), (b) counts of successes (out of a certain number of Bernoulli trials) and, (c) numbers of Bernoulli trials. I ...
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### logistic regression vs. bayesian approach

I am working with birds dataset to determine success or failure of these introduced species and the effect of response variables on such. A sample from the final ...
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### Classification on highly skewed dataset

I have two classes A and B. 98% of the data belongs to class A and 2% of it belongs to class B. Size of the entire dataset is about 2000. I am interested in correctly classifying all the data points ...
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### In real clinical diagnostic data set how can we know the “true label” of a patient?

When we were taught about Bayesian probability, we often saw the following example: in a population, there are 5% of people who has disease X, and among the people who have disease X, the current ...
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### Multivariate logistic regression vs multinomial logistic regression?

I have 15 independent variables and 3 correlated, binary, dependent variables. It seems like for predicting correlated dependent variables the general recommendation is multivariate regression. One ...
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### Binary logistic regression with compositional proportional predictors

I am running a binary logistic regression with compositional predictors that sum to 100% (demographic categories). I've looked at several postings about this, but can't find a good solution to my ...
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### Potential bias when the training set is more general than the testing set

I am using Logistic Regression (LR) to obtain Coronary Artery Disease CAD probability equation. The data set has 16 candidate predictors, all continuous. There are two groups, CAD patient group (70 ...
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### Estimating Equations for Treatment Model in Treatment Effects Estimation — How is this Equation Derived?

While reading the STATA 14 Treatment Effects Reference Manual (http://www.stata.com/manuals14/te.pdf), I'm having difficulty understanding how they arrive at the equation for the treatment model, that ...
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### Including Predicted Treatment Probabilities of LHS variable on RHS of a Logistic Regression

I would like to see whether black and white participants are treated (0/1 treatment indicator) differently in my participant level data. However, black and white participants have different underlying ...
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### Threshold for and Variations of Exact logistic regression

According to this UCLA tutorial exact logistic regression (elrm::elrm in R) should be prefered to the logistic regression ...
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### How is the solver parameter and MLE related in Logistic regression for scikit-learn

I'm trying to understand the implementation of scikit-learn's Logistic Regression. I am new to the framework, and have only a basic understanding of logistic regression. http://scikit-learn.org/...
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### Differences from logistic regression and mixed effects logistic regression - rounding error or conceptual mistake?

I'm a bit confused. To my understanding, the standard logistic regression should be equivalent to a mixed effect logistic regression where the statistical unit is defined as random effect - but I ...
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### Unstable p-values in logistic regression

I'm tweaking a logistic regression model in R. The model's been optimized and tested pretty extensively so far. I need to remove one variable for non-statistical reasons (...
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997 views

### Train accuracy < Test accuracy with regularization

With a friend we were playing with the notMNIST data, logistic regression and regularization. Without regularization, we could achieve a training accuracy (10k samples) of 78%, and test accuracy (15k ...
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### How to present predicted probabilities for multiple predictors

I have performed a multinomial logistic regression using the multinom function in R. I have one categorical response variable with 3 levels, 3 continuous predictors and 3 categorical predictors (with ...
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### Identifying outliers in logistic regression model

I'm looking to identify outliers in a logistic regression model, e.g. ...