# Linked Questions

30 questions linked to/from Sample size for logistic regression?
2answers
637 views

### Power analysis for logistic regression with dummy independent variables [duplicate]

Per reviewer request, I need to do power analysis for a logistic regression model with multiple dummy variables. I have four groups: Control, (Treatment) A, B, and C. The hypothesis is that group A ...
0answers
2k views

### Sample size for logistic regression with categorical independent variables [duplicate]

Trying to find a sample size for logistic regression I found a rule of thumb in http://www.medcalc.org/manual/logistic_regression.php I cite: Sample size considerations. Sample size calculation for ...
1answer
488 views

### Is there a relationship between number of covariates and sample size in logistic regression? [duplicate]

Is there some definite relationship between number of covariates and the sample size in logistic regression? (e.g. larger the number of covariates, larger the sample size needed, etc.) Thank you,
0answers
778 views

### Power Analysis for Logistic Regression with one nominal variable [duplicate]

How do I estimate sample size or do power analysis for logistic regression with one nominal independent variable? Is there a way to do it with Stata?
1answer
585 views

### Need help determining sample size for logistic regression [duplicate]

I need help determining the sample size necessary for a logistic regression (binary DV) with two continuous predictors and also the sample size necessary if I use three continuous predictors.
0answers
381 views

### Sample size for logistic regression. How to determine the number need for positive and negative cases? [duplicate]

I would like to apply logistic regression for my research. And before that, I want to calculate the minimum number of sample size, positive cases, and negative cases. http://www.medcalc.org/manual/...
0answers
159 views

### Why exactly is a sample of size 142 too small for 11 variables? [duplicate]

In a (logistic?) regression paper related to credit scoring and involving psychometric data and credit scoring, there are 11 predictor variables used to estimate credit score. The sample size is 142. ...
1answer
122 views

### What is the minimum number of “cases” for minority class to perform logistic regression? [duplicate]

I have 6 out of 167 cases of cancer in the dependent variable. I would evaluate if three independent variables predicted the cancer. Are 6 cases enough? Is there a rule to determine this? Is there ...
9answers
178k views

### How to deal with perfect separation in logistic regression?

If you have a variable which perfectly separates zeroes and ones in target variable, R will yield the following "perfect or quasi perfect separation" warning message: ...
3answers
87k views

### Does an unbalanced sample matter when doing logistic regression?

Okay, so I think I have a decent enough sample, taking into account the 20:1 rule of thumb: a fairly large sample (N=374) for a total of 7 candidate predictor variables. My problem is the following: ...
4answers
27k views

### Minimum number of observations for logistic regression?

I'm running a binary logistic regressions with 3 numerical variables. I'm suppressing the intercept in my models as the probability should be zero if all input variables are zero. What's minimal ...
3answers
9k views

### Multiple logistic regression power analysis

I have a logistic regression model and output an $R^2$ value. I then go and add another predictor variable to fit a second model. I can output a new $R^2$ value associated with the second model. When ...
1answer
5k views

### Power calculations, logistic regression with continuous exposure--cohort [duplicate]

I'm trying to estimate power in a logistic regression with a continuous exposure in a cohort study (ie, the ratio of the sampling probabilities is 1). I have population cumulative incidence (...
1answer
3k views

### Clarification on the rule of 10 for logistic regression

Been brushing up on my logistic regression and I've seen a couple of things about the one in ten rule. To illustrate my current understanding (or lack thereof) lets consider a case with only two ...
2answers
1k views

### Power analysis for a factorial logistic regression without estimated proportions for each factor

If we have a balanced factorial designed experiment where each variable is taken in 2 levels (+1,-1) and we don't have estimates of each proportion for each factor level combination like we did in ...

15 30 50 per page