Stochastic ordering under conditional modelling of extreme values:drug induced liver injury

Papastathopoulos, Ioannis and Tawn, Jonathan (2015) Stochastic ordering under conditional modelling of extreme values:drug induced liver injury. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64 (2). pp. 299-317. ISSN 0035-9254

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Abstract

Drug-induced liver injury (DILI) is a major public health issue and of serious concern for the pharmaceutical industry. Early detection of signs of a drug's potential for DILI is vital for pharmaceutical companies' evaluation of new drugs. A combination of extreme values of liver-specific variables indicate potential DILI (Hy's law). We estimate the probability of joint extreme elevations of laboratory variables by using the conditional approach to multivariate extremes which concerns the distribution of a random vector given an extreme component. We extend the current model to include the assumption of stochastically ordered survival curves and construct a hypothesis test for ordered tail dependence between doses, which is a pattern that is potentially triggered by DILI. The model proposed is applied to safety data from a phase 3 clinical trial of a drug that has been linked to liver toxicity.

Item Type:
Journal Article
Journal or Publication Title:
Journal of the Royal Statistical Society: Series C (Applied Statistics)
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1804
Subjects:
ID Code:
73879
Deposited By:
Deposited On:
18 Jun 2015 05:55
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 09:13