Re: [R] C-statistic comparison with partially paired datasets

Frank, thank you very much for your answer. Yes, I also estimated splines like you suggested but wanted to add "more custom" analyses as well. Your answer does help me however, thanks. Hanneke > Hanneke Wijnhoven wrote: >> Frank, >> >> Thank you for your quick response! >> >> I want to compare th

Re: [R] C-statistic comparison with partially paired datasets

Hanneke Wijnhoven wrote: Frank, Thank you for your quick response! I want to compare the discriminative capacity of different anthropometric measures in predicting mortality, focussing on the "thin" site of these measures. Since these associations are not linear (U shaped for BMI and inversil

Re: [R] C-statistic comparison with partially paired datasets

Frank, Thank you for your quick response! I want to compare the discriminative capacity of different anthropometric measures in predicting mortality, focussing on the "thin" site of these measures. Since these associations are not linear (U shaped for BMI and inversily J-shaped for mid-upper

Re: [R] C-statistic comparison with partially paired datasets

Hanneke Wijnhoven wrote: Does anyone know of an R-function or method to compare two C-statistics (Harrells's C - rcorr.cens) obtained from 2 different models in partially paired datasets (i.e. some similar and some different cases), with one continuous independent variable in each separate mode

[R] C-statistic comparison with partially paired datasets

Does anyone know of an R-function or method to compare two C-statistics (Harrells's C - rcorr.cens) obtained from 2 different models in partially paired datasets (i.e. some similar and some different cases), with one continuous independent variable in each separate model? (in a survival analysi