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Abstrakt
For twin timetoevent data, we consider different concordance probabilities, such as the casewise concordance that are routinely computed as a measure of the lifetime dependence/correlation for specific diseases. The concordance probability here is the probability that both twins have experienced the event of interest. Under the assumption that both twins are censored at the same time, we show how to estimate this probability in the presence of right censoring, and as a consequence, we can then estimate the casewise twin concordance. In addition, we can model the magnitude of within pair dependence over time, and covariates may be further influential on the marginal risk and dependence structure. We establish the estimators large sample properties and suggest various tests, for example, for inferring familial influence. The method is demonstrated and motivated by specific twin data on cancer events with the competing risk death. We thus aim to quantify the degree of dependence through the casewise concordance function and show a significant genetic component.
Originalsprog  Engelsk 

Tidsskrift  Statistics in Medicine 
Vol/bind  33 
Udgave nummer  7 
Sider (fratil)  11931204 
ISSN  02776715 
DOI  
Status  Udgivet  30. mar. 2014 
Fingeraftryk
Dyk ned i forskningsemnerne om 'Estimating twin concordance for bivariate competing risks twin data'. Sammen danner de et unikt fingeraftryk.Relaterede Projekter
 1 Igangværende

NorTwinCan  Nordisk Tvillingstudie af Cancer
Kaprio, J., Harris, J. R., Jylhävä, J., Hjelmborg, J., Adami, H., Czene, K., Mucci, L. A. & Skytthe, A.
01/01/2000 → 09/01/2024
Projekter: Projekt › Forskning