https://community.jmp.com/t5/Discussions/controlling-for-site-clustering/m-p/366331#M61615 <P>Yes, it sounds like a logistic regression model with covariates and site in the linear predictor is appropriate. You might also include cross terms for potential interaction effects such as length of stay at a particular site.</P> Tue, 09 Mar 2021 10:31:29 GMT Mark_Bailey 2021-03-09T10:31:29Z https://community.jmp.com/t5/Discussions/controlling-for-site-clustering/m-p/366301#M61607 <P>A large data set of &gt;200,000 patients is from 125 hospitals. I am analyzing difference in outcomes ( mortality ( nominal) and Length of stay ( continuous) based on admission source. The other predictor variables include age, diagnostic categories, severity of illness score etc.</P><P>&nbsp;</P><P>I need to account or site clustering. I can do this by adding site ID in the Fit model...I can make it into random effect also as I read on one of the discussion posts.</P><P>&nbsp;</P><P>I wanted to ensure this is appropriate method to account for the clustering. I will be doing linear regression by standard least square and nominal logistic regression.</P><P>&nbsp;</P><P>thank you for looking into it</P> Fri, 09 Jun 2023 00:30:08 GMT https://community.jmp.com/t5/Discussions/controlling-for-site-clustering/m-p/366301#M61607 Sandeep123 2023-06-09T00:30:08Z https://community.jmp.com/t5/Discussions/controlling-for-site-clustering/m-p/366331#M61615 <P>Yes, it sounds like a logistic regression model with covariates and site in the linear predictor is appropriate. You might also include cross terms for potential interaction effects such as length of stay at a particular site.</P> Tue, 09 Mar 2021 10:31:29 GMT https://community.jmp.com/t5/Discussions/controlling-for-site-clustering/m-p/366331#M61615 Mark_Bailey 2021-03-09T10:31:29Z