Hello Everyone,
I am doing a paired kidney analysis to look at the effect of obesity on post-transplant outcomes (e.g. death). The pairs were transplant pairs where one kidney was allocated to an obese recipient and the other to a non-obese recipient.
For this paired analysis, I used Conditional Poisson regression to compare count data, using Ramsey Regression Equation Specification Error Test (RESET) to check model fit.
I used a stratified Cox model to compare time to event data, using Cox-Snell residuals to check model fit.
Are those two goodness-of-fit tests suitable for the paired analyisis?
Many thanks for any thoughts on this. Appreciate any help in advance.
Best Regards,
Bree
I am doing a paired kidney analysis to look at the effect of obesity on post-transplant outcomes (e.g. death). The pairs were transplant pairs where one kidney was allocated to an obese recipient and the other to a non-obese recipient.
For this paired analysis, I used Conditional Poisson regression to compare count data, using Ramsey Regression Equation Specification Error Test (RESET) to check model fit.
I used a stratified Cox model to compare time to event data, using Cox-Snell residuals to check model fit.
Are those two goodness-of-fit tests suitable for the paired analyisis?
Many thanks for any thoughts on this. Appreciate any help in advance.
Best Regards,
Bree
