Document 0876
 DOCN  M9590876
 TI    Modelling age-specific survival in nesting studies, using a general
       approach for doubly-censored and truncated data.
 DT    9509
 AU    Heisey DM; Nordheim EV; Department of Surgery, University of
       Wisconsin-Madison 53792,; USA.
 SO    Biometrics. 1995 Mar;51(1):51-60. Unique Identifier : AIDSLINE
       MED/95284257
 AB    In typical nest survival studies, the observed sample of nests is
       usually biased by left-truncation (i.e., only active nests enter the
       study); additionally the failure data may be doubly censored, because
       the exact dates of nest initiation and failure are uncertain. We present
       a general bivariate contingency table approach for analyzing such data.
       We use weakly structured step spline hazard models, which avoid
       estimability problems encountered in a strictly nonparametric approach,
       yet still permit flexibility. Our method eliminates a potential source
       of bias noted by Heisey and Nordheim (1990, Biometrics 46, 855-862) in
       the nest survival method of Pollock and Cornelius (1988, Biometrics 44,
       397-404). We compare our approach to related techniques developed for
       estimating the incubation distribution of AIDS.
 DE    Acquired Immunodeficiency Syndrome/*MORTALITY/*THERAPY  *Age Factors
       Algorithms  Biometry/METHODS  Comparative Study  Human  *Models,
       Statistical  Probability  *Survival Rate  JOURNAL ARTICLE

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