# Questions tagged [logistic]

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

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### Geometric Interpretation of Softmax Regression

I'm writing a series of blog posts on the basics of machine learning, just for fun, mostly to validate my understanding of Andrew Ng's class. As I'm currently studying generalized linear models (GLMs),...
26 views

### Is a logistic regression appropriate for my question and correctly interpreted?

I need help knowing if my statistical approach is correct for what I want to achieve. I want to know whether a trial that follows an error (i.e., has a post.error value of 1) makes it more likely that ...
19k views

### Logistic Regression on Time Series Data

I would like to forecast the probability of a binary outcome using logistic regression at t+1, using all previous data points. I am new to forecasting so any help would be appreciated. The raw data ...
344 views

### Standardized coefficients logistic Regression R

Is there an R analogue to the standardized logistic regression coefficients I can get in Stata? I know in regression it is simply lm.beta(model). Is there something like this for logistic regression ...
257 views

### Deriving predicted probabilities from gologit2 (proportional odds models) output

I am trying to understand the output from Richard Williams's amazing gologit2 STATA package. The software is used for ordinal logistic regression and circumvents violations of the proportional odds ...
23 views

### Should I Use Regularization in Univariate Logistic Regression for Diagnostic Methods Comparison?

I am comparing two diagnostic methods, Method 1 and Method 2, where Method 2 is considered the gold standard. I am using Method 1 to predict the Method 2 using logistic regression. My dataset contains ...
1 vote
573 views

### Data setup: Attrition/Churn Modeling with Time Dependencies

Beginner Data Scientist here... I'm setting out to build a predictive model for our client in the hotel/hospitality industry to explain the factors contributing to the attrition of their Loyalty ...
919 views

### Likelihood of Linear Discriminant Analysis compared to logistic regression

I've come across an interesting exercise. We are given four classification models for binary response and a $d$-dimensional independent variable: A Linear Discriminant Analysis model where the ...
1 vote
18 views

### Rescale measures of association for meta-analysis (e.g., log-transformed independent variables)

I am carrying out a meta-analysis of studies evaluating the association between blood levels of specific environmental pollutants and health outcomes (binary). Some studies reported OR/RR/HR for ...
1 vote
44 views

### Need help understanding odds ratio over time example

I'm trying to recreate a paper that compares the frequency and characteristics of emergency department visits that are repeats (ie; same patient had another emergency department visit for the same ...
1 vote
229 views

### Comparing the fit of logistic regression model to a poisson regression model

How do we compare the fit of the two models given that the explanatory variables are the same, except the response variable is different? (the response predicts an equivalent thing). We were told that ...
11 views

### Bayesian Mediation Analysis

I have: 1 binary outcome (0, 1) 1 continuous quantitative mediator 1 continuous quantitative predictor I would like to compute Bayesian mediation analysis with Liu et al. (2023) method. The formula ...
13 views

### How to choose default uninformative prior in the R Package BAS

I'm conducting a Bayesian multilevel logistic regression based on the Rpackage BAS. I'm a beginner in Bayesian statistics. But in bas.glm, I don't understand and I don't know how to specify my prior. ...
16 views

### Compare effect of two coefficients in logit model

I have a logit model with multiple independents qualitatives variables (A, B, C), and I would like to compare the probability of success between individuals who have a certain profile. For instance, ...
1 vote
273 views

### How to test proportion of each factor level against mean proportion across all levels (binary outcome)

I have a dataset with the factor region (4 levels) and a binary variable outcome (0/1). Here in wide format. ...
26 views

### Bayesian Logistic Regression: default uninformative priors choice on JASP [closed]

I'm currently trying to perform Bayesian logistic regression using JASP. For this, I need to choose a prior distribution. JASP offers the following options: AIC, BIC, EB-local, g-prior, CCH, Beta-...
529 views

### Interpreting odds ratio units

I'm running logistic regressions in Python using statsmodels logit and, downstream, am calculating odds ratios for each independent variable. I know that, conventionally, an odds ratio is interpreted ...
280 views

### Odd ratio for binomial variable values

I am calculating the odd ratio of logistic regression (using statsmodel of Python). I have one independent variable (i.e. process type: faulty (1) or non-faulty (2) and one dependent variable (i.e. ...
35 views

### Compare the proportion of multiple diseases between 2 groups

I'm conducting an analysis on data derived from two groups subjected to different environmental conditions. Here's a brief overview: Group A: 750 individuals exposed to smoke. Group B: 1500 ...
32 views

### How to perform model comparison based on multinom( ) function of nnet package in R?

My independent variables are gender and sequence, and the dependent variable is intervention (including 3 intervention methods). I established a multinomial logistic regression model to examine the ...
2k views

### How to choose alternative specific constant (ASC) in multinomial logistic regression in R? (unlabeled choice experiments)

I am trying to replicate my colleague's NLOGIT analysis using R. This analysis was for a discrete choice experiment in which fisherman chose whether to opt into a hypothetical environmental protection ...
11 views

### How to perform model comparison based on multinom( ) function of nnet package in R? [duplicate]

My independent variables are gender and sequence, and the dependent variable is intervention (including 3 intervention methods). I established a multinomial logistic regression model to examine the ...
1k views

### Dependent Variable takes on the values 0, 1, 2, 3 - What is the right (logistic) regression model to use?

I am looking for help to analyze the data from my online experiment. For my master thesis I conducted an online experiment where participants had to conduct a shopping task where they were provided ...
16 views

### Conditional Logistic (Discrete Cox PH) Regression Model

I am very new on the topic of disc påret time survival modeling. I found the following function in R from package powerSurvEpi. It seems that powerConLogistic.bin function can be used for #Sample Size ...
47 views

### Regression with dependent observations of only one individual

Last week, I received a task to plan an analysis that my team wishes to perform. My objective is to measure if one physician agrees with the outputs that a certain tool generates for a set of N ...
19 views

### Why residual term $\epsilon$ is not included in logistic regression specification? [duplicate]

I have a simple question, which bothers me. In the logistic regression context, the odds are defined as: $$\frac{p(X)}{1-p(X)} = e^{\beta_{0}+\beta_{1}X}.$$ I was wondering, why in the literature the ...
114 views

### Small-sample binary logit and linear models - response to referees [closed]

Background: This cross-sectional study collected 30 thrombosis samples. We evaluated the presence or absence of MP components (dependent variable), where 24 cases had MP (coded as 1) and 6 cases did ...
416 views

### Should we always use clustered standard errors in panel data with only two time points, in a multilevel logistic regression?

This is the situation: I have a binary outcome at two timepoints (T1 and T2); I'm using a random-effect logistic regression (I mean: just the random intercept, no random slopes) to estimate subject-...
1 vote
30 views

### Violated assumption of independence in logistic regression

In order to predict forest fires occurrence, some studies (study 1,study 2)used meteorological data plus vegetation and topographical data. I'm trying to do the same for a different location but I'm ...
49 views

### Given that quasibinomial/quasipoisson reg models overdispersion, why ever use normal bin/poiss regression if quasi is more flexible?

In reading about quasibinomial regression: The quasi-binomial distribution, while similar to the binomial distribution, has an extra parameter 𝜙 (limited to |𝜙|≤min{𝑝/𝑛,(1−𝑝)/𝑛} ) that attempts ...
1 vote
28 views

### Association between more than 2 categorical variables

Is there a method that can detect an association between several categorical variables? I know that chi2 test Can help me with paired variables, but imagine the usecase with 5 variables and there IS ...
76 views

### What are the estimates returned by avg_slopes() in modelsummary?

I have an interpretation question of R's marginaleffects avg_slopes function for logistic regression models. Consider the ...
1 vote
303 views

### Comparison vs Reference Group, which tests to use in this scenario?

we are researching whether the date of a certain medical procedure impacts the complication rate of said procedure. To this end we have identified multiple risk factors we would like to study more ...
2k views

### Oversampling correction for multinomial logistic regression

When modeling rare events with logistic regression, oversampling is a common method to reduce computation complexity (i.e., keep all the rare positive cases but just a subsample of negative cases). ...
1 vote
670 views

### How to Conduct Binary Logistic Regression with Repeated Measures

I have a data set in which the response variable ("Binary_Response") is binary. The explanatory variables I am hoping to include with my model are categorical and also binary ("...
86 views

### Is there any physical process producing a logistic distribution?

In his Logit Models, J.S. Cramer writes the following (p. 23) Are there no physical processes producing a logistic distribution?
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### How to determine probabilities that maximize likelihood in logistic regression in case of categorical variable [closed]

Edit: Let's say that we want to predict if mouse is Obese (Y=1) vs NotObese (Y=0) given that the predictor is the fact that a mouse has a normal Gene (X=0) vs Mutated Gene (X=1). I can deal with this ...
63 views

### Regression strategies for predicting a binomially distributed, count outcome: Poisson, Negative Binomial, and Logistic Models with Offsets

Data Description: I am working with a dataset of 100 hens, represented across four columns: ID: Numbers 1 through 100. Age: Each hen's age. EggCount: Number of eggs laid per hen, with a range from 0 ...
15 views

### Feature selection for logistic regression and random forest (using Orange - no coding)

I’m using Orange to create a prediction model for the Indian liver patient dataset (binary target variable – either has or does not have liver disease – with 580 instances and 10 features). I’m using ...
58 views

### Lack of within-cluster variability

I am working on patients' data. I want to do multilevel logistic regression. The cluster is hospital, exposure variable is treatment (A, B, C), and independent variables include sex, age and others. I ...
1 vote
222 views

### Point estimate and confidence interval for the difference in $x_1$ between two groups for which a particular $y$ is achieved

I have two variables (continuous $x_1$, control/treatment $x_2$) that I want to use to predict a probability. Domain knowledge suggests that the relationship is roughly linear in the log-odds, so I am ...
329 views

### R squared in logistic regression adjusted for number of predictors

For OLS we have an adjusted R squared which adjusts for the number of predictors included in the model. For logistic regression there are some R squared analogues (Tjur’s R squared, McFadden’s R ...
18 views

### Negative average marginal effect for positive estimate in ordinal logistic regression

I'm running an ordinal logistic regression with eight indepdent variables and the dependent variable has five categories (1 = Not at all and 5 = To a great extent). To interpret the coefficient ...
48 views

### Extrapolating standard error of logistic regression in R

I'm trying to extrapolate the mean and standard error range of a logistic regression using the predict function in R, splitting the x axis range up into small pieces and predicting the value at each ...
225 views

### Binary logistic regression- enter vs. all at once

I have a question regarding binary logistic regression. My DV is dichotomous (0=no, 1=yes), and I have 9 predictor variables (dummy-coded & scale). If I do for each predictor one regression ...
27 views

### Do the threshold values in the results of Ordinal Logistic Regression need to be strictly increasing?

I understand that the estimates of the thresholds should be strictly increasing from here and this youtube lecture. This is because they represent the thresholds that determine which output class the ...
26k views

### Logistic regression and ordinal independent variables

I have found this post: Yes. The coefficient reflects the change in log odds for each increment of change in the ordinal predictor. This (very common) model specification assumes the the predictor ...
65 views

### Multiple logistic regression with ordinal predictors

I'm looking for resources on general guidance for how to perform and interpret multiple logistic regression using SPSS, with ordinal predictors. I have 2 ordinal predictor variable. Each ordinal ...