Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
Cox proportional hazards regression is a semi-parametric method for survival analysis. No distributional form needs to be assumed, only that the effect of one-unit increase in a covariate is a constant multiple.
1
vote
1
answer
584
views
Step function in Cox Model
I have a stratified Cox model with a covariate which violates proportional hazard assumptions:
data(veteran)
toy <- coxph(Surv(time, status) ~ trt + prior + karno, data=veteran)
So I perform a step f …
2
votes
0
answers
163
views
Step functions for non-proportional hazards
I have a stratified Cox model with covariates ("big") which violate proportional hazard assumptions:
model0 <- coxph(Surv(t_start, t_stop, status) ~ big + strata(prov), data=labor)
cox.zph output is …