I am not a statistician, just a medical doctor trying to do my own statistics and now I have run into some problems that I cannot solve by myself. I think I need to explain some background first:

- Carboplatin (chemotherapy) is dosed using Calvert formula:
**Dose (mg) = AUC (mg ml-1 min) x [GFR (ml/min) + 25 (ml/min)]** - GFR is estimated using the Cockcroft-Gault formula:
**[(140-age) x (Wt in kg) x (0.85 if female)] / (72 x Cr)**

- Since capping, the variable of interest, is not independent of either weight/BMI or age, can all be included in the multivariable analysis?
- Moreover, it is well known that the Cockroft-Gault formula can overestimate the GFR in obese patients, which would mean that obese patients are prescribed higher doses than they should have and they should therefore have a superior outcome. However, when I look at our data I see the opposite, i.e. that obese patients have an inferior outcome both in the capped group and in the non-capped group.

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