53k views

### Computing Confidence Intervals for Coefficients in Logistic Regression [duplicate]

After fitting a logistic regression model in R using model <- glm(y~x,family='binomial') I can obtain the confidence intervals for the fitted coefficients using <...
• 2,049
1 vote
21 views

### Discrepency between p value and confidence interval in glm [duplicate]

Consider estimating the binomial success parameter using glm. ...
18 views

### SPSS vs R confidence interval [duplicate]

When I performed logistic regression and generated a confidence interval of the odds ratio with R using confint, it gave a different confidence interval than the ...
77k views

### Calculating confidence intervals for a logistic regression

I'm using a binomial logistic regression to identify if exposure to has_x or has_y impacts the likelihood that a user will click ...
• 1,542
16k views

### Different ways to produce a confidence interval for odds ratio from logistic regression

I am studying how to construct a 95% confidence interval for odds ratio from the coefficients obtained in the logistic regression. So, considering the logistic regression model,  \log\left(\frac{p}{...
4k views

### What method is used to calculate confidence intervals in R's MASS package function confint.glm?

What method is used to calculate confidence intervals in R's MASS package function confint.glm? The helpfile states that: ...
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166 views

### Why do I get a negative chi-squared value in my type III ANOVA output for my binomial GLM?

I am trying to look at how the likelihood of event X occurring is affected by three factors A (5 levels), B (2 levels) and C (3 levels). To do this I have run a binomial glm followed by a type 3 ANOVA ...
237 views

### statistical significance of A B test if some observation are removed due to errors

I have ran an A/B test and using chi-square test of independence, results shows that group A improves on group B by less than 5% (statistically significant) YAY!!! Unfortunately, after few checks I ...
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534 views

### Dealing with quasi-complete separation in General Additive Model?

I am modelling influence of fire on occurrence of certain bird species (count response variable) in Before/after control/impact experiment design. I've got intact and burned sites and count data both ...
1 vote
461 views

### Logistic regression: variable coefficient is statistically significant but not statistically significant as an exponentiated odds ratio?

As mentioned in the title. I came across this instance using GLM in R. Is this an error? EDIT: The p-value of the coefficient was calculated by GLM in R and is less than 0.05. I then plotted the odds ...
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243 views

### How can I calculate confidence intervals of a probability obtained by my logistic regression model?

I have fit my own logistic model and I am using it to calculate the probabilities of different outcomes. I would like to know how I can obtain the confidence intervals of these probabilities. I am ...
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1 vote
308 views

### Differences between P value and confidence interval for calculated OR

I have returned to a piece of work and was re-running some statistical analysis. I found differences in the P values (which is > 0.05) and OR confidence intervals which was greater than 1. Is there ...
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197 views

### Calculating confidence intervals for coefficients in ordinal logistic regression

I've fitted an ordinal logistic regression model in R using MASS::polr and I am looking to compute confidence intervals for the fitted coefficients. Here is the (...
88 views

### How to calculate the Std. Error of estimates and 95% Confidence interval of the odds ratio of the logit model?

For a simple data set: ...
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1 vote