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Survival analysis models time to event data, typically time to death or failure time. Censored data are a common problem for survival analyses.

0 votes
0 answers
38 views

How to model survival analysis for "lost disease-free years"

My research team suggested we use in a Cox regression the "lost disease-free years" as outcome measures. It works like this: we have the median age at which the general population gets cardiovascular …
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2 votes
0 answers
66 views

Very puzzling - naming the endpoint of survival analysis

But: neither log-rank nor Cox regression care what the survival at a specific number of years was. … So why the heck do ALL PAPERS state that the ENDPOINT is "5 year disease-free survival" and not "disease-free survival in months"? …
torwart's user avatar
  • 305
6 votes
1 answer
17k views

How to interpret and compare models in Cox regression?

I am trying to interpret the results of a Cox regression; I am doing a PhD in medicine. I love statistics but my question is still pretty basic, I think, and I did not find an answer in previous threa …
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