https://communities.sas.com/t5/SAS-Programming/Sample-size-for-regression/m-p/922508#M363247 I have a sample of 86 nurses and I want to run a multivariate linear logistic regression. Outcome variable is continuous and predictor variables are categorical and continuous. I used proc glm and everything looked nice until I read that small sample size can’t work for regression. What’s the rule about sample size for regression? Mon, 01 Apr 2024 22:32:05 GMT sumah 2024-04-01T22:32:05Z https://communities.sas.com/t5/SAS-Programming/Sample-size-for-regression/m-p/922508#M363247 I have a sample of 86 nurses and I want to run a multivariate linear logistic regression. Outcome variable is continuous and predictor variables are categorical and continuous. I used proc glm and everything looked nice until I read that small sample size can’t work for regression. What’s the rule about sample size for regression? Mon, 01 Apr 2024 22:32:05 GMT https://communities.sas.com/t5/SAS-Programming/Sample-size-for-regression/m-p/922508#M363247 sumah 2024-04-01T22:32:05Z https://communities.sas.com/t5/SAS-Programming/Sample-size-for-regression/m-p/922516#M363248 <P>But of course, 86 nurses may be sufficient if the effects of the predictor variables are strong enough relative to the noise in your data. And 86 nurses may be insufficient if the effects of the predictor variables are weak relative to the noise in your data.</P> <P>&nbsp;</P> <P>Here's an example similar to yours, of determining a sample size using PROC GLMPOWER.</P> <P><A href="https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_glmpower_examples02.htm" target="_blank">https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_glmpower_examples02.htm</A></P> Mon, 01 Apr 2024 23:21:06 GMT https://communities.sas.com/t5/SAS-Programming/Sample-size-for-regression/m-p/922516#M363248 PaigeMiller 2024-04-01T23:21:06Z