Estimation of a Conditional Copula and Association Measures

Abstarct. This paper is concerned with studying the dependence structure between two random variables Y ₁ and Y ₂ conditionally upon a covariate X. The dependence structure is modelled via a copula function, which depends on the given value of the covariate in a general way. Gijbels et al. (Comput. Statist. Data Anal., 55, 2011, 1919) suggested two non‐parametric estimators of the ‘conditional’ copula and investigated their numerical performances. In this paper we establish the asymptotic properties of the proposed estimators as well as conditional association measures derived from them. Practical recommendations for their use are then discussed.     

Actual versus perceived risk of cervical cancer among college women smokers

Cervical cancer is a well-established smoking-related illness, but many at-risk women are unaware of this link. OBJECTIVE: The authors designed this study to (1) investigate the relationship of smoking behavior with the history of abnormal Pap test results, sexual history, and perceived risk of cervical cancer and (2) determine whether self-classified smoking status (and hence perceived risk) corresponds with actual smoking behavior in a college student population. PARTICIPANTS AND METHOD SUMMARY: College women students (N = 135) completed a survey assessing smoking history, health history, sexual risk behavior, and risk awareness. RESULTS: Relative to those who had not smoked in the past month, current smokers (n = 36, or 27% of the total sample) perceived themselves to be at higher risk for developing cervical cancer, but did not demonstrate increased awareness of specific cervical cancer risk factors, including smoking. Twenty-eight percent (10 of 36) of past-month smokers did not define themselves as current smokers. CONCLUSION: The authors conclude that anti-smoking and health-related messages targeting smokers may misfire for individuals who do not define themselves as smokers but are nonetheless at risk for smoking-related consequences and escalating use.