[R] multi-level cox ph with time-dependent covariates

Dear all, I would like to know if it is possible to fit in R a Cox ph model with time-dependent covariates and to account for hierarchical effects at the same time. Additionally, I'd like also to know if it would be possible to perform any feature selection on this model fit. I have a data set th

[R] multi-level cox ph with time-dependent covariates

Dear all, I would like to know if it is possible to fit in R a Cox ph model with time-dependent covariates and to account for hierarchical effects at the same time. Additionally, I'd like also to know if it would be possible to perform any feature selection on this model fit. I have a data set th

Re: [R] randomForest can not handle categorical predictors with more than 32 categories

try to transform the attributes that have more than 32 levels into dummy binary variables. 2010/11/10 Mai Dang : > I received this error > Error in randomForest.default(m, y, ...) : > Can not handle categorical predictors with more than 32 categories. > > using below code > > library(randomForest)

Re: [R] predict.coxph and predict.survreg

Indeed, from the predict() function of the coxph you cannot get directly "time" predictions, but only linear and exponential risk scores. This is because, in order to get the time, a baseline hazard has to be computed and it is not straightforward since it is implicit in the Cox model. 2010/11/11

Re: [R] statistical test for comparison of two classifications (nominal)

ind the best partition among a set of candidate ones. Mattia Prosperi. 2010/11/17 Marc Schwartz : > On Nov 17, 2010, at 7:33 AM, Martin Tomko wrote: > >> Dear all, >> I am having a hard time to figure out a suitable test for the match between >> two nominal classificati