pmcc: Product-Moment Correlation Coefficient

In tranSurv: Transformation Model Based Estimation of Survival and Regression Under Dependent Truncation and Independent Censoring

Description

pmcc computes the conditional product-moment correlation coefficient proposed by Chen et al. (1996). The conditional product-moment correlation coefficient uses only the uncensored events.

Usage

pmcc(trun, obs, a = 0, trans = "linear")

Arguments

trun	left truncation time satisfying trun <= obs.
obs	observed failure time, must be the same length as trun, might be right-censored.
a	a numeric transformation parameter. The default value is 0, which applies no transformation. This parameter must be greater than -1. See ?tranSurvfit for the transformation model structure.
trans	a character string specifying the transformation structure. The following are permitted: linear linear transformation structure, log log-linear transformation structure, exp exponential transformation structure.

See Also

trSurvfit

Examples

data(channing, package = "boot")
chan <- subset(channing, sex == "Male" & entry < exit & cens == 1)
with(chan, pmcc(entry, exit)) ## cannot handle right censored data

Example output

 Test for quasi-independence with conditional correlation coefficient

 Call: pmcc(trun = entry, obs = exit)

 Correlation coefficient = 0.4688 , SE = 0.0053 , Z = 6.4198 , p-value =  0 

tranSurv documentation built on Jan. 16, 2021, 5:31 p.m.