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Predict Y is the goal. I guess another way to look at it is- If I want to run a multiple regression model and the max possible no. of patients I'll be able to recruit will be 100. How many IVs will I be able to look at?

I want to try and find associations of outcome. Thus simultaneously compare several variables. As far as I understand- for multiple regression you need larger sample sizes. My query is- is the significance of any findings different if I analyse as single regressions individually vs multiple...

Hi @obh Yeah, considered that, but I figured Xi model would mean I'd need a muck greater sample size (for 80% power results). If there was a way I could assess additional variables without increasing sample size significantly, it would allow me to analyse many more features. Is that possible?

Hello, I am undertaking a study looking at patients with AF (a heart rhythm disorder). I'm looking at how continuous baseline variable (X) predicts a improvement (a continuous measure of function) (Y) after a discrete treatment. I plan on using regressional analysis after collecting the before...