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### When to remove insignificant variables?

I'm working on logistic regression model. I checked the summary of the model which is built on 5 independent variables out which one is not significant with a P-value of 0.74.I wish to know that do we ... 7k views

### Problem understanding the logistic regression link function

I am trying to learn the logistic regression model. I came to know that there is no linear relationship between predictor variables and response variables since response variables are binary (...
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### Why significant variable doesn't improve model performance?

I have a binary classification problem with 5K records and 60+ features/columns/variables. dataset is slightly imbalanced (or not) with 33:67 class proportion What I did was 1st) Run a logistic ...
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### Why is logistic regression well calibrated, and how to ruin its calibration?

In the scikit learn documents on probability calibration they compare logistic regression with other methods and remark that random forest is less well calibrated than logistic regression. Why is ...
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### How should two cross-validated logistic regression models be compared?

I'm using 100 times 10-fold repeated cross-validation to assess the ROC-AUC performance improvement of adding a biomarker to an existing model: Model_A : pred1 + pred2 Model_B :pred1 + pred2 + pred3 I'...
1 vote
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### R - Model selection in Glmer

Having troubles to perform a model selection for glmer in R. I'm using the package lme4 with the following structure: ...
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A latent variable model involving a binomial observed variable $Y$ can be constructed such that $Y$ is related to the latent variable $Y^*$ via $Y = \begin{cases} 0, & \mbox{if }Y^*... 2 votes 3 answers 3k views ### How to test for main effects in 2x2 factorial design with categorical outcome The problem I have is as follows: I have a clinical trial based on 2x2 factorial design (four treatment combinations, balanced design)comparing treatment A with treatment B, where the primary outcome ... 2 votes 1 answer 5k views ### Intercept significant in glmer and lmer I'm quite new on this with binomial data tests, confusing when doing the analysis in R using glmer and lmer I am doing an ... 4 votes 3 answers 306 views ### Probability threshold in ROC curve analyses When conducting a logistic regression analysis in SPSS, a default threshold of 0.5 is used for the classification table. Consequently, individuals with a predicted probability < 0.5 are assigned to ... 3 votes 1 answer 4k views ### Bias and variance of coefficient estimation of logistic regression For a linear regression problem$y=X\beta + \epsilon$, I think we know very well that the estimated$\hat{\beta} = \dfrac{X^Ty}{X^TX}$is unbiased, and has the variance introduced by$\epsilon\$. It ... 1k views

### Importance of C statistic in logistic regression

I am working on a dataset with 1500 cancer patients. The research question is impact of various patient and surgery related variables on disease specific mortality. So the outcome/dependent variable ...
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### What is difference between mediation analysis and mendelian randomization analysis?

I would like to know what the difference between mediation analysis and mendelian randomization (MR) analysis is. As I know, instrumental variable (IV) in mediation analysis is almost similar to IV (=...
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### Intercept in Multiple logistic regression

I've run a multivariable logistic regression on 8 variables and my results are a bit puzzling. The intercept (that is the log odds when the other covariates = 0) is significant (p<0.001), but the ...