concordanceCor: Concordance Computes concordance and casewise concordance

In mets: Analysis of Multivariate Event Times

Concordance Computes concordance and casewise concordance

Description

Concordance for Twins

Usage

concordanceCor(
  object,
  cif1,
  cif2 = NULL,
  messages = TRUE,
  model = NULL,
  coefs = NULL,
  ...
)

Arguments

object	Output from the cor.cif, rr.cif or or.cif function
cif1	Marginal cumulative incidence
cif2	Marginal cumulative incidence of other cause (cause2) if it is different from cause1
messages	To print messages
model	Specfifies wich model that is considered if object not given.
coefs	Specfifies dependence parameters if object is not given.
...	Extra arguments, not used.

Details

The concordance is the probability that both twins have experienced the event of interest and is defined as

cor(t) = P(T_1 \leq t, \epsilon_1 =1 , T_2 \leq t, \epsilon_2=1)

Similarly, the casewise concordance is

casewise(t) = \frac{cor(t)}{P(T_1 \leq t, \epsilon_1=1) }

that is the probability that twin "2" has the event given that twins "1" has.

Author(s)

Thomas Scheike

References

Estimating twin concordance for bivariate competing risks twin data Thomas H. Scheike, Klaus K. Holst and Jacob B. Hjelmborg, Statistics in Medicine 2014, 1193-1204

Estimating Twin Pair Concordance for Age of Onset. Thomas H. Scheike, Jacob V B Hjelmborg, Klaus K. Holst, 2015 in Behavior genetics DOI:10.1007/s10519-015-9729-3

mets documentation built on May 29, 2024, 3:51 a.m.