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- W2032082017 abstract "A model of the form P(t, d)=1−;exp{-ʌ(t)σKi=0qidi}, qi⩾ 0, is proposed for analyzing dose-response survival data with right censoring. The qi's in the dose polynomial are estimated by maximizing the Cox partial likelihood, and given these estimates. Λ(t) is estimated nonparametrically by an estimator proposed by Breslow. Large-sample properties of these estimators are established. Estimates and related large-sample properties are provided for the “virtually safe dose” and other parameters for assessing low-dose carcinogenic risk as a function of age, using data from animal carcinogenesis experiments." @default.
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- W2032082017 date "1980-08-01" @default.
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- W2032082017 title "Asymptotic theory for analyzing dose-response survival data with application to the low-dose extrapolation problem" @default.
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- W2032082017 doi "https://doi.org/10.1016/0025-5564(80)90037-1" @default.
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