effect_survival

effect_survival_coxph

Effect measure for association between one censored variable and one categorical variable

Create descriptive tables for continuous and categorical variables.
Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'.
You can also compute effect sizes and statistical tests if needed.

Dan Chaltiel

crosstable

Crosstables for Descriptive Analyses

David Hajage

effect_survival function

<dl><dt>x</dt>
<dd>survival vector (made using <code><a href="/link/survival%3A%3ASurv()?package=crosstable&version=0.8.0" data-mini-rdoc="crosstable::survival::Surv()">survival::Surv()</a></code>)</dd>
<dt>by</dt>
<dd>categorical vector (of exactly 2 unique levels)</dd>
<dt>conf_level</dt>
<dd>confidence interval level</dd></dl>

Arguments

Author

Effect measure for association between one censored variable and one categorical variable — effect_survival

<dl>

<dt>x</dt>
<dd>survival vector (made using <code><a href='https://rdrr.io/pkg/survival/man/Surv.html'>survival::Surv()</a></code>)</dd>


<dt>by</dt>
<dd>categorical vector (of exactly 2 unique levels)</dd>


<dt>conf_level</dt>
<dd>confidence interval level</dd>

</dl>

effect_survival: Effect measure for association between one censored variable and one categorical variable

Description

Usage

Value

Arguments

Author