= "strata", # Change risk table color by groups # Change color, linetype by strata, risk.table color by strata Allowed values include one of c(“none”, “hv”, “h”, “v”). horizontal/vertical line at median survival using the argument.
the p-value of the Log-Rank test comparing the groups using pval = TRUE.Use “abs_pct” to show both absolute number and percentage. “absolute” or “percentage”: to show the absolute number and the percentage of subjects at risk by time, respectively.TRUE or FALSE specifying whether to show or not the risk table.the number and/or the percentage of individuals at risk by time using the option risk.table.the 95% confidence limits of the survivor function using the argument conf.int = TRUE.
We’ll use the function ggsurvplot() to produce the survival curves for the two groups of subjects. The components can be accessed as follow: d <- ame(time = fit$time, The levels of strata (a factor) are the labels for the curves. If strata is not NULL, there are multiple curves in the result.
lower,upper: lower and upper confidence limits for the curve, respectively.n.censor: the number of censored subjects, who exit the risk set, without an event, at time t.n.event: the number of events that occurred at time t.n.risk: the number of subjects at risk at time t.n: total number of subjects in each curve.
0 kommentar(er)
