I've created this model: model <- survfit(Surv(time,status)~c$sex) model and the output is: Call: survfit(formula = Surv(time, status) ~ c$sex) records n.max n.start events median 0.95LCL ...

I'm having some trouble using coxph(). I've two categorical variables: Sex and Probable Cause, that I want to use as predictor variables. Sex is just the typical male/female but Probable Cause has ...

I have survival data from an experiment in flies which examines rates of aging in various genotypes. The data is available to me in several layouts so the choice of which is up to you, whichever su...

The question I am posting here is closely linked to another question I posted two days ago about gompertz aging analysis. I am trying to construct a survival object, see ?Surv, in R. This will hop...

I have the following survreg model: Call: survreg(formula = Surv(time = (ev.time), event = ev) ~ age, data = my.data, dist = "weib") Value Std. Error z p (Intercept) 4.0961 0.5566 7.36 1.86e-1...

I try to fit a survreg model using the gamma distribution. Following ?survreg.distributions I defined my custom distribution like this: gamma <- list(name = 'gamma', parms = c(2,2), init = ...

I am trying to plot the inverse of a survival function, as the data I'm is actually an increase in proportion of an event over time. I can produce Kaplan-Meier survival plots, but I want to produce...

I'm doing some survival analysis in R, and looking to tidy up/simplify my code. At the moment I'm doing several steps in my data analysis: make a Surv object (time variable with indication as t...

What I have is a Kaplan-Meier Analysis of patients with mechanical heart support using R. What I need is adding the following data into the plot (like in the example): patients who survived due ...