[生物书合集].Advances.in.Clinical.TBiostatisti

[生物书合集].Advances.in.Clinical.TBiostatisti

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formation about the MTD is frequently more ambiguous. Such prior ignorance can be reflected through the use of vague or non-informative priors. Thus, for example, the marginal prior distribution of the MTD might scheme in which the toxicity probabilities are modeled directly as an unknown k -dimensional parameter vector. That is, the dose-toxicity model is given by Prob DLT j Dose ¼ x i fg ¼ u i i ¼ 1 ; 2 ; ... ; k ð 5 Þ with N =[ u 1 u 2 ..., u k ] unknown. The authors maintain that by removing the assumption that the dose-toxicity relationship follows a specific parametric curve, such as the logistic model in (3), this model permits a more efficient use of prior information. A similar approach is based on what has variously been referred to as an empiric discrete model (Chevret, 1993), a power function (Kramar et al., 1999; Gasparini and Eisele, 2000) or a power model (Heyd and Carlin, 1999). The model is given by Prob DLT j Dose ¼ x i ¼ ˆ u y i ð 6 Þ where y >0 is unknown and ˆ u i ( i =1, 2, . .., k
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This note was uploaded on 06/13/2011 for the course PHYSICS 101 taught by Professor Shu during the Spring '11 term at FIU.

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