pool_cindex: Calculates the pooled C-index and Confidence intervals

In miceafter: Data and Statistical Analyses after Multiple Imputation

Calculates the pooled C-index and Confidence intervals

Description

pool_cindex Calculates the pooled C-index and Confidence intervals.

Usage

pool_cindex(data, conf.level = 0.95, dfcom = NULL)

Arguments

data	An object of class 'mistats' ('Multiply Imputed Statistical Analysis'.) or a m x 2 matrix with correlation coefficients and standard errors in the first and second column. For the latter option dfcom has to be provided.
conf.level	conf.level Confidence level of the confidence intervals.
dfcom	Number of completed-data analysis degrees of freedom. Default number is taken from function cindex

Details

Rubin's Rules are used for pooling. The C-index values are log transformed before pooling and finally back transformed.

Value

The pooled c-index value and the confidence intervals.

Vignettes

https://mwheymans.github.io/miceafter/articles/pooling_cindex.html

Author(s)

Martijn Heymans, 2021

See Also

with.milist, cindex

Examples

 # Logistic Regression
 imp_dat <- df2milist(lbpmilr, impvar="Impnr")
 res_stats <- with(data=imp_dat,
  expr = cindex(glm(Chronic ~ Gender + Radiation,
  family=binomial)))
 res <- pool_cindex(res_stats)
 res

 # Cox regression
 library(survival)
 imp_dat <- df2milist(lbpmicox, impvar="Impnr")
 res_stats <- with(data=imp_dat,
   expr = cindex(coxph(Surv(Time, Status) ~ Pain + Radiation)))
 res <- pool_cindex(res_stats)
 res

miceafter documentation built on Oct. 2, 2022, 5:08 p.m.