Concordance for Twins
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.
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
