CODEWITHSUNDEEP
rsurvival
vanillaCat
vanillaCat

Reputation: 1

How can i calculate median survival adjusted for covariates (age, gender and other covariates)

I am doing a study on a disease. I have done KM-plot, and cox analysis. However I can not figure out how i can calculate the median survival adjusted for age, gender and other covariates. This is interessting because I have four different timeperiods id like to compare. Do anyone know how and if it can be done in R?

The variables i have are:

time_onset_death # Time from symptom onset to death, if not dead, end is set to end of study Dead # Is the patient dead? group # 1,2,3 or 4 (by time period) What i want to today is calculate the median survival for the four groups adjusted for covariates (age and gender).

I not sure what function to use? I am thinking a cox function, but I can only manage to get hazards.

Upvotes: 0

Views: 313

Answers (1)

Denzo
Denzo

Reputation: 355

You could use the adjusted_surv_quantile function (https://robindenz1.github.io/adjustedCurves/reference/adjusted_surv_quantile.html) from the adjustedCurves package (https://github.com/RobinDenz1/adjustedCurves).

Since you did not give a reproducible example I cant provide one for you. But the documentation of the function I mentioned above does contain examples.

Upvotes: 0

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