Linked Questions

4 votes
2 answers
3k 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 ...
VJ.BG's user avatar
  • 41
6 votes
1 answer
6k 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 (...
Michael's user avatar
  • 163
0 votes
1 answer
2k 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.
Ally Haley's user avatar
0 votes
0 answers
2k 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/...
cyrusjan's user avatar
  • 245
1 vote
0 answers
1k 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?
sfarran's user avatar
  • 11
1 vote
0 answers
150 views

Formula to determine minimum sample size for logistic regression [duplicate]

I was researching logistic regression's critieria, and I found in many different sources that the ideal sample size = (10 * #of explanatory variables) / (probability of least frequent observations) ...
aquaman9's user avatar
37 votes
6 answers
128k views

Sample size for logistic regression?

I want to make a logistic model from my survey data. It is a small survey of four residential colonies in which only 154 respondents were interviewed. My dependent variable is "satisfactory transition ...
Braj-Stat's user avatar
  • 621
45 votes
2 answers
26k views

Simulation of logistic regression power analysis - designed experiments

This question is in response to an answer given by @Greg Snow in regards to a question I asked concerning power analysis with logistic regression and SAS ...
B_Miner's user avatar
  • 8,810
8 votes
2 answers
7k views

Are there any power calculation formulas for ML methods beyond Logistic Regression? [closed]

Are there any power calculation formulas for ML methods (for binary classification) beyond Logistic Regression? (also well beyond the laughable rule of thumb 10 instances per variable) I've done a ...
Mitch's user avatar
  • 1,997
5 votes
1 answer
6k views

Understanding the 10:1 events per variable rule

I read online that 1:10 rule is based on the frequency of lower occurring class. I have a dataset with 4712 records. There are 1558 records labeled yes, and 3554 records labeled no. In my case, the ...
The Great's user avatar
  • 3,302
3 votes
2 answers
2k 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 ...
B_Miner's user avatar
  • 8,810
0 votes
0 answers
2k views

Sample size of logistic regression with interaction

Could you please help me calculate the minimal sample size in order to detect an interaction effect? I have estimated effect sizes (% of successes) of binary variables: ...
Gustavjung's user avatar
3 votes
0 answers
660 views

How can I calculate the power of my analysis with binary response data?

I have three groups with ~ 15 individuals per group. Group 1 gets a treatment Group 2 is a control in the same area Group 3 is a further control in a different area The response is binary, 1 or ...
adkane's user avatar
  • 1,021
1 vote
1 answer
353 views

Estimating size of validation cohort

We have generated an elastic net model on a small dataset, where we use gene expression data to calculate a biomarker score to discriminate patients with condition X vs controls. The dataset is too ...
mm523's user avatar
  • 85
1 vote
1 answer
90 views

Conducting power analysis to minimize number of tests: generalized linear model (GLZ) with binary outcome, zero inflated binomial predictors R

My problem: I have a fixed, imbalanced, case-control cohort where I am using two (2) low occurrence predictors (rare variants) to try to find an association between the predictors and disease. I will ...
Sky Scraper's user avatar

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