[Q] Struggling with determining sample size for logistic regression.

We need about 500 positive cases. With a 12% prevalence rate, I guess our sample size should be at least 500 / 0.10 = 5000.

Sample size for logistic regression? - Cross Validated

Basically, as the ratio of parameters estimated to the number of data gets close to 1, your model will become saturated, and will necessarily be ...

Sample Size Guidelines for Logistic Regression from Observational ...

From the results, guidelines of sample size estimation for logistic regression based on the concept of event per variable (EPV) and sample size formula (n = 100 ...

logistic regression - Strategy for dealing with giant sample size

I'm working with a massive sample size consisting of 3 million samples (~ 1% of the US population). It's a Logistic Regression, and p-values of several ...

Is it possible to perform a logistic regression with a sample size of ...

It would be nice to know how many predictors you have, how many rows of data you have and whether some of your predictors have very low ...

How do you calculate the sample size for a binomial logistic ...

When I have a binary outcome variable and a binary predictor, I am able to calculate the sample size needed using either G*Power (under z ...

Sample Size Issues for Categorical Analyses and Logistic ...

Sample size determination for logistic regression: A simulation study. Communications in Statistics-Simulation and. Computation, 44(2), 360-373. Cohen, J. (1992) ...

Logistical Regression with a small sample size and outliers ...

Hello. I need to perform a logistics regression for a small sample size (n=20) to determine predictive factors for an event.

Sample Size for Survey Research: Review and Recommendations

Moreover, model complexity should be considered when estimating sample size. ... statistical analysis (e.g. ANOVA, ANCOVA, logistic regression, etc.) may ...

minimum detectable odds ratio for a multivariate logistic regression ...

I have around 10 predicting variables (independent variables) in the model. I go to STATA, go to sample power, precision, and sample-size ...

Logistic regression – sample size | Sample Size Calculators

Sample size required to to compare an odds ratio from logistic regression to 1. The model is of a continuous explanatory variable and a binary outcome variable.

Logistic Regression Power Analysis | Stata Data Analysis Examples

These results may be different than you were expecting. The sample sizes have actually gone up. The reason for this is the nonlinear nature of logistic ...

How to determine population and survey sample size? - CheckMarket

would tell me how i can calculate sample size for survival model and survival data if my population is curently 2128. please write down the ...

Power and Sample Size Estimation for Logistic Regression

This leads to estimating power and sample size. If we desire a high power, say 0.90, to correctly detect a real interaction, then we estimate the minimum sample ...

Do unequal sample sizes affect logistic regression outcomes? - Quora

Yes, if suppose you have two classes with a sample size of 10 and 90 respectively. Then if you use an algorithm that justs give out the label as class 2 ...

The Influence of Sample Size on Parameter Estimates in Three ...

Regression equation (1) corresponds to the first level of the ML-model, with intercept β0jk, explanatory variable Xijk multiplied with the ...

Logistic Regression Sample Size - Real Statistics Using Excel

Describes how to estimate the minimum sample size required for logistic regression with a continuous independent variable that is normally distributed.

Identification of Grouped Rare and Common Variants via Penalized ...

Penalized regression methods can be used on these underdetermined problems, shrinking the size ... Sparse logistic regression for text categorization. 2005.

Lesson 6 Logistic Regression and Friends

If you're anything like me, you would struggle to do these calculations in your head. ... Calculate the average partial effect of x x over the observed sample.

Sample Size Calculation for Ordinal Logistic Regression - prediction

My simple approach was to follow steps 1-4 for a binary outcome model and calculate the required minimal sample size for each of the three ...