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- W2042179218 abstract "We consider inference in general binary response regression models under retrospective sampling plans. Prentice & Pyke (1979) discovered that inference for the odds-ratio parameter in a logistic model can be based on a prospective likelihood even though the sampling scheme is retrospective. We show that the estimating function obtained from the prospective likelihood is optimal in a class of unbiased estimating functions. Also we link casecontrol sampling with a two-sample biased sampling problem, where the ratio of two densities is assumed to take a known parametric form. Connections between this model and the Cox proportional hazards model are pointed out. Large and small sample size behaviour of the proposed estimators is studied." @default.
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- W2042179218 date "1998-09-01" @default.
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- W2042179218 title "Inferences for case-control and semiparametric two-sample density ratio models" @default.
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- W2042179218 doi "https://doi.org/10.1093/biomet/85.3.619" @default.
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