effect_survival: Effect measure for association between one censored variable...
In crosstable: Crosstables for Descriptive Analyses
effect_survival R Documentation
Effect measure for association between one censored variable and one categorical variable
Description
Effect measure for association between one censored variable and one categorical variable
Usage
effect_survival_coxph(x, by, conf_level = 0.95)
Arguments
x
survival vector (made using survival::Surv())
by
categorical vector (of exactly 2 unique levels)
conf_level
confidence interval level
Value
a list with two components: p.value and method
Author(s)
Dan Chaltiel, David Hajage
crosstable documentation built on Nov. 1, 2024, 5:06 p.m.
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| effect_survival | R Documentation |
Effect measure for association between one censored variable and one categorical variable
Description
Effect measure for association between one censored variable and one categorical variable
Usage
effect_survival_coxph(x, by, conf_level = 0.95)
Arguments
x |
survival vector (made using |
by |
categorical vector (of exactly 2 unique levels) |
conf_level |
confidence interval level |
Value
a list with two components: p.value and method
Author(s)
Dan Chaltiel, David Hajage
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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