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

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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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90 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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31 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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16 views

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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29 views

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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24 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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60 views

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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90 views

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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47 views

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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21 views

Shapley Value using Logistic Regression [on hold]

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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154 views

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

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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8 views

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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13 views

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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20 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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21 views

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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43 views

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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16 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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28 views

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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85 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. ...
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Should I perform linear regression multiple times to train my dataset?

I am working on Boston data set from MASS library. I separated the training and test data (70 / 30) In order to train my data, should I run linear regression multiple times on training data? Is this ...
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52 views

Masked variables in logistic regression

I have a logistic regression model with variables $V_1$ through $V_n$. When I build a full model with all of the variables, I find that $V_1$ and $V_2$ are significant. However, when I build a new ...
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39 views

Reporting exponentiated coefficients in a logistic regression, t-value and confidence intervals

I recently encountered a situation regarding the reporting of two predictor effects in a logistic regression, which I plan to report their exponentiated coefficients in the text with their SEs, t- ...
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Panel data logistic regression with clustered robust errors in R [migrated]

I am trying to estimate a cluster-robust logistic regression from panel data in R. I have observations from companies over several time periods and a discrete (0,1) dependent variable. ...
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Logistic regression: Estimation of marginal effects of predictors

I ran a logistic regression analysis with 12 independent variables (predictors). I heard that I could estimate the average marginal effects of these predictors using a linear regression model. Could ...
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Can we solve classification problems (in machine learning ) using gradient descent? [closed]

I was solving a exercise (here) on machine learning . I have solved this problem using fminunc (a predefined function ) and newtons method but i am facing problem while solving it using gradient ...
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How to calculate Area Under the Curve (AUC), or the c-statistic, by hand

I am interested in calculating area under the curve (AUC), or the c-statistic, by hand for a binary logistic regression model. For example, in the validation dataset, I have the true value for the ...
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Logistic Regression 3 variables [closed]

Can anyone help me with this question...I am completely drawing a blank here
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What is the “general convention” for coding the response variable in credit scoring models?

I would like to receive suggestions on what is the general (most common / popular) approach for coding the response variable in scredit scoring models (logistic regression) to denote "bad"/"good" ...
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131 views

Why are all my p-values so low in logistic regression model?

I'm trying to make a regression model to explain a dependent variable that follows a binomial distribution - I have data on the number of successes and the number of trials for each observation. The ...
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20 views

Appropriate test (in R) for proportion data that aren't normally distributed, aren't based on counts, and include 0's and 1's?

I'm studying differences in tree health among 5 species of trees across 3 different green infrastructure types. Here are the first few lines of data: ...
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23 views

Models to predict response rate of market campaign?

I have been trying logistic regression to fit the data and get an estimation of the response rate, but the power of the model is quite limited. The area under the ROC curve is always around 0.6. I ...
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40 views

logistic regression continuous independent variable interpretation in R

I have age as a covariate in my material. A continuous variable. The age varies between 18-70 years. I'm into a logistic regression and do not really know how to treat the variable. As a linear ...
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How to analyse categorical data?

First off I would like to apologise for the ill-defined nature of the question, I have very little background in statistics and am currently taking a post-grad stats paper. My variable of interest ...
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Multicolinearity in logistic regression using R

Upon performing binary logistic regression, I have found VIF, using R programming, as follows: ...
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How to assess if a model is good in multinomial logistic regression?

I have some ordinal response $y$ that I modeled using both ordinal logistic regression and multinomial logistic regression (to avoid the proportional odds assumption), using two continuous variables ...
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How to interpret parameters of GLM with binomial family for proportions

I would like to use glm with binomial family for proportions. However, I am wondering how could I interpret the parameters that is important in my case. In binary logistic regression one can interpret ...
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Two equivalent forms of logistic regression

There are two ways to write the objective function (negative log-likelihood) for logistic regression: Let \begin{align} & p=P(y^{(1)}=1\mid x)= \frac{1}{1+e^{-\beta^\mathrm{T}x}}\\ & ...
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Trained Logistic Regression returns 'NAN' for some out of sample data

I'm using MATLAB R2015a, glmfit function for training and glmval for out of sample ...
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Hosmer-Lemeshow test with weighted data

I am trying to perform Hosmer-Lemeshow test on weighted data (i.e. each observation in a data set has its weight). Unfortunately, I cannot find any literature on how to perform such test. Do you know ...
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How to forecast course completion percentage?

The goal of this task is to be able predict percentage of students who registered a specified term which in the future will pass the course. I did a logistic regression for binary response whether ...
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“fitted probabilities numerically 0 or 1 occurred ” in R? [duplicate]

I am trying to build a logistic regression that would tell me if it's worth sending a letter to a client. I have 11 significant variables in the model: What can I do to eliminate the warning ...
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I am interested in conducting a trend analysis with random subject/item intercepts/slopes, in R

I have a dichotomous outcome variable and am using an IV with three levels. Is it possible to run a trend analysis in which the DV is the likelihood of success, while also including random subject ...
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Interpreting the Durbin Watson test results

I did a Durbin-Watson test (durbinWatsonTest() in the package 'car') in r to check the logistic regression model I fitted, the test results is like following: lag Autocorrelation D-W Statistic ...
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Why does hypothesis testing using coefficient and odds ratio give different conclusion?

After fitting a logit glmer model in R, I got the following coefficient estimate: ...
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Logistic regression in r for aggregated counts

I have country level data for a binary (good/bad) outcome. For each country, I have the number of individuals in the sample who answerd "good" and number of individuals who answered "bad". I also have ...
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11 views

Setting Rolling Performance Window

I am in the process of developing a predictive model. I need your help understanding rolling performance window. The objective of the model is to identify customer attrition in retail segment. ...
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Probability Scores for Oversampling data

I have to find probability scores for campaign response, I have the oversample data of prop.table(table(train$PURCHASE_THROUGH_CMPG))*100 Output: ...
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235 views

Why do my p-values differ between logistic regression output, chi-squared test, and the confidence interval for the OR?

I have built a logistic regression where the outcome variable is being cured after receiving treatment (Cure vs. No Cure). All ...
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Controls sampled on confounding variable

Let's say I wanted to use logistic regression to analyze the effect of an exposure variable on a categorical outcome variable ("yes" or "no"). I believe there are two important confounding variables ...