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

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Logistic model cross validation error in SAS [on hold]

I am using sas and want to fit a logistic regression model to predict the prob of long male life and construct a 2*2 table for cross validation rate. But I don't know why my code does not work. ...
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20 views

Non-significant interaction effect

I currently have a regression where adding an interaction effect between two significant variables (a float and a boolean) makes them non-significant. Given that this interaction effect is not ...
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9 views

using both raw and weight of evidence values in logistic regression

I am building a logistic regressin model for probability of take-up for a lending product. I have a number of continuous variables. In the past, I have always used EITHER weight-of-evidence ...
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Modeling a proportion using longitudinal data

To illustrate my question I'll make a (very) fictional example. I have a set of 17 year old people that every year report how many cigarettes they smoked and how many miles they ran. Very few of ...
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14 views

How is the F-Stat in a regression in R calculated [duplicate]

I am running a regression and I'd like to be able to do the calculation to get to the F stat .3062. How is this .3062 calculated? Can you help? ...
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Rule of thumb for sample size for mixed-effects logistic regression analysis?

Is there a simple way of calculating the minimum number of participants (and/or items) needed for a mixed-effects logistic regression analysis? In particular, what should I do if I don't know what to ...
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How to fit an logistical autoregression in R?

I modeled the relationship of $X$ and $Y$ by the logistic function. The residual plot displays autocorrelation which I'd like to rid. I want to try adding trend component to $X$, thus the model ...
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23 views

Logistic regression (multinomial)

Having trouble getting my head around this. I should mention, I am not a staistician and all my 'knowledge' is self taught. I am trying to compare 4 hospital sites for patient outcome (either ...
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33 views

How to interpret my coeff/ORs when the main effect of my two predictors is significant but not the interaction between the two?

Apologies as this has been posted before in similar topics but still I am trying to stretch my brain to understand it. I have panel data, I am looking at both binary and count variables as outcomes ...
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26 views

Can you use a single set of weights for all classes in logistic regression?

For this question I want to specifically focus on the the method in this tutorial: CRF tutorial See equations 1.6 and 1.7 $p(y|\boldsymbol{x}) = \frac{\exp\left \{{\lambda_{y} + \sum\limits_{j=1}^K ...
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The intuition behind the different scoring rules

Consider the three scoring rules in the case of a binary prediction: Log: sum(log(ifelse(outcome, probability, 1-probability))) / n Brier: ...
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GWAS Study QQ Plots [on hold]

I am performing a logistic regression on GWAS data, and for the first analysis I used 4 covariates that correct for population structure. And the QQ plot looks fairly good (the points are around x = ...
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How can I calculate the AUC for softmax classifier (e.g., logistic regression)?

At the end of a convolutional neural network(CNN) , there are usually a softmax classifier attached to it. How can I calculate the AUC for the CNN (that is, for the softmax classifier)? Thanks!
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Why are results different from R mixed effect logistic regression models with nested random effects?

I have a dichotomous outcome on 2500 individuals. From 18 geographical areas, and many households nested within areas. I need to assess the association between various predictors and my outcome, ...
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23 views

Reporting a binary logistic regression

The binary logistic regression model was found to be non-significant for my results. What should I include in my results section?for example, would I still report the Nagelkerke Rsquared?
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41 views

Discrepancy between logistic regression and logistic regression results?

Suppose I have a data set of 200 controls (group A; has no memory problems) and 100 cases (group B; has memory problems). And I'm looking at the relationship between memory and cognitive test score ...
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How should I treat my covariate in R?

This is covariate age in my logistic regression. How should I treat it? Gets a little insecure. Have tried to read, but still insecure. Right now I treat it as if it were linear. A polynomial is not ...
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42 views

Large value of exp (B) in binary logistic regression SPSS what is wrong? [duplicate]

I had a very large value for Exp(B) in SPSS binary logistic regression. What is wrong and what should I do?
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22 views

A higher odds ratio but a broader confidence interval

I have derived two logistic models. one has just the predictor. Other has the predictor adjusted for few co-variates. The odds ratio of the predictor in the first model is 4.6 (1.39-16.70) and the ...
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Logistic regression vs. linear regression on class probabilities

I have a bunch of data points, each of which represent a success or failure. Each data point is from one of ~40 conditions, each of which contains approximately 40 data points. All of my predictor ...
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10 views

How do you interpret SPSS output for reference groups with multiple levels?

I am using binary logistic regression. My dependent variable is referred or not referred. I have set a reference category for location of subjects. I have chosen to use the largest site with the ...
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29 views

Generative algorithms

If I understand slide 4 correctly, the idea here is that in order to compute $p(y|x)$ we can use the fact that $$p(y|x) = \frac{p(x|y)p(y)}{p(x)}.$$ Then $p(x|y)$ and $p(y)$ are calculated using our ...
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How to interpret $\delta$ in the analysis of this article?

Goal I ran some population genetics numerical simulations where an effect of interest is observed whenever there is a tendency of individuals to migrate more toward one direction than toward the ...
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Predicting attrition

I am trying to build a model which will predict attrition in an organization and will also find out the key drivers which leads to employee attrition. I am not looking at any special scenarios too. I ...
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22 views

Logit model - none of the cases vary on one predictor

What do you do with a categorical predictor (e.g. Black-White-Hispanic) in a logistic model when none of the cases are White, but about half the population studied is? You have to drop this predictor ...
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Multiple logistic regression models and survey data

I have a set of survey data that consists of answers to 10 knowledge questions along with demographic information about the respondent. Our question of interest is to identify which demographics are ...
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27 views

Log transformation for logistic regression

Is it necessary to log transform non-normally distributed variables to perform logistic regression? If so, when is it appropriate?
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I observed very different feature scoring from two different classifiers. What does it really mean?

Here what I've done. Given the dataset, I run a Random Forests and Logistic Regression with 5 Fold Stratified Data Sampling. Then I plot the feature importance for Random Forests and Logistic ...
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24 views

JAGS Error: Invalid Parent Values on last observation

I am using R2jags to fit a model in R using JAGS. Here is my code: ...
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47 views

Is the first derivative of the logistic probability function a Gaussian function?

Is the first derivative of $Pr(x)=\frac{e^{\beta_0+\beta_i x_i}}{1+e^{\beta_0+\beta_i x_i}}$ a Gaussian function?
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104 views

Trust of coefficients of Logistic Regression

I use logistic regression to model the probability of an event and all of my features are categorical variables. Note that some values of the categorical variables are more frequent than others. The ...
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34 views

How to write down a logistic regression formula with multiple levels of a categorical variable

I dont know how to correctly present a logistic regression model in expressions or formula in a manuscript or a report, especially with a multiple-level categorical variable. For instance, I have a ...
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Adding a continuous to logistic regression based on TF-IDF

My train dataset contains blog posts. I have an excerpt from a post, its total length in words and an arbitrary "Good" binary variable: ...
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18 views

Bad regression predictions with probability values

I have to pull through a regression on a set of probabilities (so values between 0 and 1). Those probabilities are related to a binary variable, which I have to forecast exactly. My code basically ...
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Very large odds ratio- binary logistic regression

I have obtained a very large odds ratio and standard error for my interaction term after running a binary logistic regression. My study has 4 conditions and 3 dependant variables, however, 1 of the ...
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45 views

Why pglm fails for within model?

Trying to run a panel logistic model. In the parameters a default NULL is specified for the "start" parameter. My model is: ...
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Logistic regression: my main effects lose significance when I add my interaction effects. Why?

I have a dichotomous dependent variable for a 2x3 experiment. There are about 30 observations in each cell, for a total sample size of about 180. Each person was only in one cell. The dependent ...
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Regression with categorical predictors - use only some dummy variables [duplicate]

I am working on a regression and I have a factor variable "Marital Status" Marital status has 5 levels: Single, Married, Divored, Widowed, Other (don't ask me what constitutes someone being an ...
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What is misclassification rate? How do we calculate it?

I'm doing logistic regression on Boston data with a column high.medv (yes/no) which indicates if the median house pricing given by column medv is either more than 25 or not. Below is my code for ...
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Shapley Value using Logistic Regression [closed]

Has anyone worked on Shapley Value Logistic Regression? Basically , I need to have different models run with all possible combinations of the predictors to be considered as independents and regressed ...
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164 views

How to implement GLM computationally in C++ (or other languages)? [closed]

I want to implement the GLM model in C++ for a commercial package (ie. this is not for fun), including but not limited to normal, binomial distribution etc. I'm not so sure how the implementation ...
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39 views
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Multipliers on Top of Binomial Rate Estimates

I was wondering if anyone has come across a similar question to the following. I have data of the form $s_{x,y}, t_{x,y}$ (successes and trials) for varying groups with $x \in X, y \in Y$. I also ...
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Retrospective analysis for potential risk factors

Assuming that i want to discover which of N factors were associated with the occurrence of an A disease (neither death, nor time-dependent event). Which statistical test should i use? A. Is Binary ...
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1answer
24 views

Logistic Regression- Control Variable Not significant In Model 2

I am new to this site and it's my first post, so my apologies in advance if I have made any mistakes or did not follow proper etiquette. I am running a logistic regression analysis with six predictor ...
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Logistic Regression with Household Fixed Effects, SPSS

I have cross-sectional data on households and individuals for several countries. I am interested in the marginal effect of a particular dichotomous individual variable $D_i$ (dummy denoting whether ...
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How to perform a test for trend on an ordinal variable in logistic regression?

I have a dichotomous outcome (gallstones/no gallstones) and an ordinal predictor variable consisting of four classes (body mass index <25(ref.), 25-30, 30-35, 35-45). I want to perform a test for ...
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23 views

What are the benefits of using ReLU over softplus as activation functions?

It is often mentioned that rectified linear units (ReLU) have superseded softplus units because they are linear and faster to compute. Does softplus it still have the advantage of inducing sparsity or ...
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Logistic regression model: interpretation of average marginal effect

This is more a beginner question but I am having trouble finding helpful information. Could someone explain to me how to interpret the "average marginal effects" of independent variables from a ...
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88 views

What kind of Logistic Regression?

I am not an expert in regression, but I have a problem that I believe should be solved by logistic regression. The problem is rather specific, so I try to describe it using a more tangible example. ...