Categorization of continuous outcome and odds ratio

data analysis modeling strategy
1

I am trying to read this article that may explain the dangers associated with categorization and interpretability of Odds Ratio
https://www.tandfonline.com/doi/pdf/10.1080/03610928308831078?needAccess=true
I dont have access to the full text of that article. So I am wondering if someone can help me understand what are the problems that can arise if I dichotomize my outcome variable and estimate the ORs. Please note I am not randomly choosing a cut point. The cut points were chose based on literature review.

Thanks.

2

There may be an existing topic that is a better place for this.

To your question I tried to address this here. Categorizing the outcome variable does even more damage than categorizing a predictor variable. This is also related to this post which may provide a simpler answer to your question.

3 Likes
3

Perfect, Thanks Frank, I will go through that writeup.