JS.aicC: General survival statistics for multivariable analysis (AIC &...

In SophiaJia/Jsurvformat: Survival analysis output format for clinical research

Description

JS.aicC output the table with general multivariable survival analysis result with HR (95% Confidence Interval),P value and Akaike's An Information Criterion. This function only change the format of the output table.

Usage

JS.aicC(...)

Arguments

...	arguments will be passed to coxph

Value

A dataframe of coxph output including Variable Names, HRs (95% Confidence Intervals), P values, AIC and C index

Examples

Model <- JS.aicC (Surv(as.numeric(surdate), scensor) ~ as.factor(isup_m_new) + age + gentder + stage , data = D1)

rtf output
rtf<-RTF("Table_survival.doc",width = 8.5, height = 11, font.size = 10, omi = c(1,1,1,1))
addHeader(rtf,title="Table1, Survival Analysis ")
addTable(rtf, Model, font.size = 10, row.names = F, NA.string="-", col.widths = c(rep(1.5, 6) ) )
done(rtf)

Rmarkdown output
save(Model, file='myfile.Rda')

Then open at markdown file
output <- load("H:/Projects/myfile.Rda")
kable(output, format = "markdown")

SophiaJia/Jsurvformat documentation built on May 9, 2019, 1:52 p.m.