- Thread starter Spektra
- Start date

This seems very difficult to do overall. And then you add the confidence intervals on the ORs, and it gets way more technical, that and the use of continuous variables.

There are likely infinite sets that could generate certain results given the rounding off of results. If you want to practice just simulate a very large set that has approximate parameters, then reproduce it again with a small sample (n=100). Given sampling variability the smaller sample with vary some, but may be something you can work with.

You would need to simulate the individual parameters then their relationship and incorporate a logit link.

There are likely infinite sets that could generate certain results given the rounding off of results. If you want to practice just simulate a very large set that has approximate parameters, then reproduce it again with a small sample (n=100). Given sampling variability the smaller sample with vary some, but may be something you can work with.

You would need to simulate the individual parameters then their relationship and incorporate a logit link.

https://stats.stackexchange.com/que...ulate-artificial-data-for-logistic-regression