       Document 0981
 DOCN  M9650981
 TI    Inferences on the association parameter in copula models for bivariate
       survival data.
 DT    9505
 AU    Shih JH; Louis TA; National Heart, Lung, and Blood Institute, Bethesda,
       Maryland; 20892-7938, USA.
 SO    Biometrics. 1995 Dec;51(4):1384-99. Unique Identifier : AIDSLINE
       MED/96135423
 AB    We investigate two-stage parametric and two-stage semi-parametric
       estimation procedures for the association parameter in copula models for
       bivariate survival data where censoring in either or both components is
       allowed. We derive asymptotic properties of the estimators and compare
       their performance by simulations. Both parametric and semi-parametric
       estimators of the association parameter are efficient at independence,
       and the parameter estimates in the margins have high efficiency and are
       robust to misspecification of dependency structures. In addition, we
       propose a consistent variance estimator for the semi-parametric
       estimator of the association parameter. We apply the proposed methods to
       an AIDS data set for illustration.
 DE    Acquired Immunodeficiency Syndrome/MORTALITY  AIDS-Related Opportunistic
       Infections/MORTALITY  Biometry/*METHODS  Human  *Models, Statistical
       Support, U.S. Gov't, P.H.S.  *Survival Analysis  JOURNAL ARTICLE

       SOURCE: National Library of Medicine.  NOTICE: This material may be
       protected by Copyright Law (Title 17, U.S.Code).

