concordanceCor | R Documentation |

Concordance for Twins

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

`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. |

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

*
cor(t) = P(T_1 ≤q t, ε_1 =1 , T_2 ≤q t, ε_2=1)
*

Similarly, the casewise concordance is

*
casewise(t) = \frac{cor(t)}{P(T_1 ≤q t, ε_1=1) }
*

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

Thomas Scheike

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 Jan. 17, 2023, 5:12 p.m.

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