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

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Mechanics of converting success/failure values to logit in glm?

While I am reasonably comfortable with performing and interpreting the output from logistic regression using glm in R, I had a question about the mechanics of the calculation to better understand what ...
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Logistic Regression: Bernoulli vs. Binomial Response Variables

I want to perform logistic regression with the following binomial response and with $X_1$ and $X_2$ as my predictors. I can present the same data as Bernoulli responses in the following format. ...
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SPSS logistic regression: variable reference category [on hold]

I am running a logistic regression to compare the performances of different hospitals in a particular region. I defined a categorical variable "hospital_ID" and would like to test not just one ...
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16 views

statistical modelling for imbalanced data

I am dealing with a binary response (good/ bad) type data set of size 2153, which reflects a dependent variable. Out of these, only 67 are in favor of "bad" and the remaining are of "good". Also, i ...
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K-fold cross validation and hierarchical data structure and lme4 package

I'm currently trying to locate R code to conduct a k-fold cross validation for a data set that contains a hierarchical data structure (i.e., GPS locations nested within individual animals). In ...
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9 views

Is a significant predictor but low sensitivity in logistic regression a valid test result?

I used binary logistics regression (SPSS) to determine the relationship between ambient noise levels (a continuous variable on a logarithmic scale, dB) and a dichotomous dependent variable ("yes" - ...
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Can complete separation between a continuous predictor and a random effect cause failure to converge in a logit GLMM?

I’m running a logit mixed-effects model on binary data with a 2x2 within-subjects design, with subjects and items as crossed random effects, and the two independent variables deviation-contrast coded. ...
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29 views

problems in doing logistic regression with unbalanced sample, give me some references

I have a dataset with lots Y=0 and few Y=1. I have to run logistic regression, so I'm using a retrospective sample in order to get a more balanced sample. Could someone give me some references that ...
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13 views

Repeated Observations Due to Pairings in Logistic Regression

I have data with repeated observations within a given year. Here's a snippet of the data: ...
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46 views

Statistical models for Obesity data

I have a data on obesity status of women in a country. This data is based on across sectional study. Now I want to find the determinants of obesity among the women. Here dependent variable is binary ...
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SAS NLMIXED proc and LOGISTIC proc results different

Consider a dataset $Z$ with $S\in \{0,1\}$ as binary response variable and 2 predictors $\{x_1, x_2\}$. ...
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I have data independent variable scoring 1 to 4 and a dependent variable number of people dependent variable,,,,,Which regression or model i prefer [on hold]

Access to water , Road , Sanitation, parks etc 1=25% have access 2=50% have access 3=75% have access 4= >75% have access Dependent Variable Number of people in a particular area... Which model or ...
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Feature selection for logistic regression [closed]

Not sure if the feature selection is the correct term but assuming I have data x,y | z where x and y features and z is target. And the task is to classify z using x,y but I know that data is not ...
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Citation for Statistical test for difference between two odds ratios?

In a comment here, @gung wrote, I believe they can overlap a little (maybe ~25%) & still be significant at the 5% level. Remember that the 95% CI you see is for the individual OR, but the ...
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1answer
52 views

Simple question on odds ratios interpretation

I am trying to interpret the Odds Ratios (ORs) from a multiple logistic regression model that compares the performance of various clinics in terms of preterm birth rate (measured as "Yes/No preterm ...
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20 views

Linear Logistic Regression where Dummy variable is strictly dependent of other covariates

I want to do a logistic regression for something being granted or not. In this I have independent variable that is dependent of a dummy variable. For example, I want to regress ...
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22 views

Comparing Binomial Success Parameters in a Stratified Approach - An Example in Biostatistics

I would like to contrast the effectiveness of drug treatment and surgical treatment in a study with the following data. Each row represents one trial, and each trial uses either drugs or surgeries to ...
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18 views

How to get the y variables that were not deleted due to missingness? [closed]

I have used a logistic regression model to predict some y, given some xes. I created the model using the following syntax: ...
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Combining independant logistic regression models

I have three logistic regression models that were developed independently from each other on different datasets. However all of them describe the same phenomenon and predict the probability of ...
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96 views

How to correctly implement iteratively reweighted least squares algorithm for multiple logistic regression?

I'm confused about the iteratively reweighted least squares algorithm used to solve for logistic regression coefficients as described on page 121 of The Elements of Statistical Learning, 2nd Edition ...
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31 views

Power analysis for logistic regression

I have to deliver a statistical analysis plan that will have to be approved by an ethic commettee before I could start a clinical trial. I usually deal with different kinds of tests, whose power ...
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39 views

Why does hypothesis of SVM output 0 or 1?

Prof. Andrew Ng in his Machine Learning class says that unlike Logistic Regression, SVM outputs hypothesis as 1 or 0. But I don’t understand why SVM's behavior differs from that of logistic regression ...
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94 views

linear regression and logistic regression

Suppose I have a variable X1, which is a score on some psychological test, that indicates whether a person will commit a crime. The variable ...
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1answer
27 views

McNemar's Test for repeated sex ratio data

I have proportion data (sex ratio of a dioecious plant) for a population that was measured three times. I would like to know if a McNemar's Test is the most appropriate analysis to answer the ...
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35 views

Assumptions of binary logistic regression

I'm currently wrestling with a binary logistic regression and would like to ask something about the assumptions: One of the assumptions of logistic regression is according to literature 'linearity' ...
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Needs suggestions and help for my study

My research question is 'to what extent does patient-provider trust impact African American males' compliance to prostate cancer screening recommendation? This is an exploratory study. I have no ...
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Large samples and the p-values almost zero in GEE models

I’m trying to find correlations between some environmental variables and a binary variable, berried/not berried females (rock lobster). I have 20 years of data that were sampled on a daily basis, ...
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Missing value imputation and Outlier treatment

Should missing value imputation and outlier treatment be done prior to splitting data into training and validation data sets? Suppose, i have split my data into training and validation data. I have ...
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32 views

Fixed effects in logistic regression

I understand that using fixed effects in the context of a logistic regression estimated using a panel of firms can be problematic. For example, if we have a panel of firms across multiple years, firm ...
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Large standard errors in Logistic Regression Model [duplicate]

Below you will see a screen grab off the tail of my results, where you get to my control variables. In short, I ran 4 competing models to explain a phenomenon. The Dataset was originally very large ...
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45 views

how to regress with dummy variables only

im stuck here. i have this model and i"m wondering what model to use to predict whether one is poor or not. someone told me that logit doesn't work here where all explanatory variables are dummy ...
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Finding a logitic model for time-varying effects in panel data

I experience problems finding a statistical model to answer a research question. I have gotten pretty lost by now and hope for some specific advice. I have problems choosing an appropriate model for ...
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Bias Correction for Large Scale Logistic Regression with Rare Events

I have a large dataset constituted of many ad impressions. My dependent binary variable clicked describe whether or not the ad was clicked on. As you can expect, the number of clicks is about 1000x ...
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Comparing logistic regression models b/w non-independent samples

I have run a fully adjusted logistic regression model for a sample whose data was collected in the year 2000. The outcome is retirement, and the predictors are individual characteristics, like age, ...
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Understanding Model Credibility with True/False Positive/Negative

I am currently going through a tutorial with regards to a evaluation for a Logistic Regression Model in regards to Bike Buyers (Microsoft Azure) For the scored Model the True/False Positive/Negative ...
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Vuong Test Equivalent for Logistic Regression

Is there a test that I can use for a logistic regression that is similar to the Vuong test for OLS?
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Interpreting signs of coefficient estimates for collinear variables in glmer

I'm doing an glmer on data in which multiple participants attempt to identify multiple words. Word identification accuracy (ACC) is the dependent measure. I want to test whether two variables related ...
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What analysis is appropriate for this matched case/control?

My boss and I are debating which analysis is appropriate for this situation. To make this simple let's say I want to compare age and gender between cases and controls. The matching is done 1:5 ...
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86 views

Plotting results of ordered logistic regression analysis

I tried to plot the results of an ordered logistic regression analysis by calculating the probabilities of endorsing every answer category of the dependent variable (6-point Likert scale, ranging from ...
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Can logistic regression be modified to predict a distribution, not just point-estimate? Other ways to learn a beta distribution from binary events?

Currently I'm using high dimensional logistic regression to predict the probability of a rare event. I use this probability for both ranking and for other calculations which need it to be ...
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35 views

Comparing logistic model predictive ability with same sample but different IV

I would like to compare two logit models. Both models use the exact same sample (1 - pass a test and 0 - fail a test). The first model will use one IV (IV1) and the second model will use a different ...
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Terrible logistic model gives perfect results? [duplicate]

So I'm playing around with logistic regression in R, using the mtcars dataset, and I decide to create a logistic regression model on the 'am' parameter (that is manual or automatic transmission for ...
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Comparing different methods of discrete-time survival analysis

I'm investigating a discrete time survival problem (the units are months and exit times range from month 1 to 36). From looking around so far, it seems like there are a few different types of model ...
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R: glm function with family = “binomial” and “weight” specification

I am very confused with how weight works in glm with family="binomial". In my understanding, the likelihood of the glm with family = "binomial" is specified as follows: $$ f(y) = {n\choose{ny}} ...
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1answer
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How does upsampling rare events affect the interpretation of logistic regression?

The answer to this question can be found here Does down-sampling change logistic regression coefficients? I have a dataset of 50k positives and nearly 1M negatives. Instead of taking a random sample ...
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Code for Logistic Growth Model Returns Same as Exponential, Why?

I'm a brand new user of R. I was provided code for an exponential growth model. I need to modify the code to provide a logistic growth model for the carrying capacity of the population. I did so, ...
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Does it make sense to restrict the number of observations for logistic regression?

This is a theoretical question. Lets assume I have performed a ordinal logistic regression on a large dataset. my model: y~x1+x2+x3 where ...
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12 views

How to draw ROC curve for softmax classifier?

As softmax classifer is a generalized form of logistic regression, how to draw ROC curve for softmax classifier?
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32 views

Confidence intervals with gamlss package

My question regards the use of the gamlss package. I am using gamlss package to fit a dataset to a logistic function. There is ...
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Correlation between binned residuals and an endogenous variable

I have performed a logistic regression and calculated a binned residual plot: library(arm) binnedplot(x, y) The final plot looks like this: ...