Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula

In dose-finding clinical study, it is common that multiple endpoints are of interest. For instance, efficacy and toxicity endpoints are both primary in clinical trials. In this article, we propose a joint model for correlated efficacy-toxicity outcome constructed with Archimedean Copula, and extend the continual reassessment method (CRM) to a bivariate trial design in which the optimal dose for...

متن کامل

Bayesian Adaptive Dose-finding Based on Efficacy and Toxicity

A description of the conventional paradigm for early phase clinical evaluation of a new agent is given, followed by a list of this paradigm’s logical and practical flaws. This is provided initially to motivate the use of phase I-II clinical trial designs. The main body of the paper consists of a review of several practical Bayesian phase I-II designs for sequentially adaptive dose-finding based...

متن کامل

Dose-finding based on efficacy-toxicity trade-offs.

We present an adaptive Bayesian method for dose-finding in phase I/II clinical trials based on trade-offs between the probabilities of treatment efficacy and toxicity. The method accommodates either trinary or bivariate binary outcomes, as well as efficacy probabilities that possibly are nonmonotone in dose. Doses are selected for successive patient cohorts based on a set of efficacy-toxicity t...

متن کامل

Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity.

A phase I/II clinical trial design is proposed for adaptively and dynamically optimizing each patient's dose in each of two cycles of therapy based on the joint binary efficacy and toxicity outcomes in each cycle. A dose-outcome model is assumed that includes a Bayesian hierarchical latent variable structure to induce association among the outcomes and also facilitate posterior computation. Dos...

متن کامل

Estimating Bivariate Tail: a copula based approach

This paper deals with the problem of estimating the tail of a bivariate distribution function. To this end we develop a general extension of the POT (PeaksOver-Threshold) method, mainly based on a two-dimensional version of the Pickands-Balkema-de Haan Theorem. We introduce a new parameter that describes the nature of the tail dependence, and we provide a way to estimate it. We construct a two-...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: PLoS ONE

سال: 2013

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0078805