surv_pred_info {shinyCox}R Documentation

Obtains information for standard errors of predictions

Description

Computes necessary information to calculate standard errors and confidence intervals in shiny app. This is adapted from parts of survival::survfit.coxph(). This function is meant to be used in conjunction with predict_se().

Usage

surv_pred_info(model, ctype, individual = FALSE, id, se.fit = TRUE, stype = 2)

Arguments

model

a coxph object

ctype

whether the cumulative hazard computation should have a correction for ties, 1=no, 2=yes.

individual

deprecated argument, replaced by id

id

optional variable name of subject identifiers. Not supported in app

se.fit

a logical value indicating whether standard errors should be computed. Default is TRUE for standard models, FALSE for multi-state (code not yet present for that case.)

stype

computation of the survival curve, 1=direct, 2=exponential of the cumulative hazard. Default is 2.

Value

A list of information needed for computing predicted standard errors.

Examples


library(survival)

colondeaths <- colon[colon$etype == 2, ]
split_colon <- split(colondeaths, colondeaths$rx)
colon_arm1 <- split_colon$Obs

colon1ph <- coxph(Surv(time, status) ~ factor(extent) + nodes + strata(surg)
                   + factor(differ),
                   colon_arm1,
                   x = TRUE, model = TRUE)
surv_pred_info(colon1ph)


[Package shinyCox version 1.1.3 Index]