JS.uni_m_fdr: A complete table for multiple univariable survival analysis
In SophiaJia/Jsurvformat: Survival analysis output format for clinical research

Description Usage Arguments Value Examples

JS.uni_m output the table with general multivariable survival analysis result with Number of total patients, Number of Events, HR (95% Confidence Interval),P value. This function only change the format of the output table. Note: c index and d index are from package survcomp.

1	JS.uni_m_fdr(Data, Event, Stime, Svars, Cats, Groupns, EM = F)

`Event`	The status indicator, normally 0=alive, 1=dead
`Stime`	This is the follow up time
`Svars`	A vector of variables
`Cats`	a vector of logical elements indicating whether or not Svar is a categorical varaible
`EM`	a logcial term, include estimated median survival nor not
`D`	A data.frame in which to interpret the variables
`groupns`	A text vector of the the group names for output

A dataframe of coxph output including Number of total patients, Number of Events, HRs (95% Confidence Intervals), P values, C index and D index.

1 2 3 4 5 6	Event <- c("pd_censor") Stime <- c("pd_surv") Svars <- c("tr_group", "age_m") Cats <- c(T, F) Groupns <- c("Treatment", "Age") JS.uni_m(D, Event, Stime, Svars, Cats, Groupns)