The term Cox regression model (omitting proportional hazards) is sometimes used to describe the extension of the Cox model to include time-dependent factors.
I want to select a Cox model with the forward procedure from a data.frame with no NA. Here is …
r na cox-regressionI'm having some trouble using coxph(). I've two categorical variables: Sex and Probable Cause, that I want to use as …
r survival-analysis categorical-data cox-regressionI'm having some trouble using coxph(). I've two categorical variables:"tecnologia" and "pais", and I want to evaluate the possible …
r survival-analysis cox-regressionDoes anyone know of a likelihood ratio test, like lrtest in the lmtest package, that works for cox proportional hazards …
r cox-regressionI have a modeled a problem using Cox's regression and now want to predict the estimated survival time for an …
r survival-analysis cox-regressionI am working on Telecom Churn problem and here is my dataset. http://www.sgi.com/tech/mlc/db/churn.…
r sas logistic-regression survival-analysis cox-regressionI have a Cox proportional hazards model set up using the following code in R that predicts mortality. Covariates A, …
r plot survival-analysis cox-regressionI have a following model: coxph(Surv(fulength, mortality == 1) ~ pspline(predictor)) where is fulength is a duration of follow-up (including …
r cox-regression splinesAre there any packages in Python for survival analysis? Specifically, I am interested in performing a Cox regression? I know …
python cox-regressionwhen i run coxph(Surv(Time, Status)~Class, data = df) on data set like below it always sets the reference …
r cox-regression