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  • JMP Security Notice: CVE-2026-109618 and CVE-2026-109619

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Sandeep123
Level III

controlling for site clustering

A large data set of >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.

 

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.

 

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.

 

thank you for looking into it

1 REPLY 1

Re: controlling for site clustering

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.

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