D ‐optimal designs for multiarm trials with dropouts
نویسندگان
چکیده
منابع مشابه
Optimal multistage designs for randomised clinical trials with continuous outcomes
Multistage designs allow considerable reductions in the expected sample size of a trial. When stopping for futility or efficacy is allowed at each stage, the expected sample size under different possible true treatment effects (δ) is of interest. The δ-minimax design is the one for which the maximum expected sample size is minimised amongst all designs that meet the types I and II error constra...
متن کاملOptimal designs for trials with discrete time survival endpoints
In studies on event occurrence the main question is whether and when a certain event occurs. Examples of events are smoking initiation, premature termination of therapy and recovery from some disease. The timing of such events cannot always be measured very precisely and coarse time intervals are used instead. At the end of each interval the occurrence of the event is measured, until and includ...
متن کاملSome new D-optimal designs
We construct several new (v; r, 8; A) supplementary difference sets with v odd and T' + .5 = A + (v 1) /2. They give rise to D-optimal designs of order 2v. D-optimal designs of orders 158, 194, and 290 are constructed here for the first time. We also give an up to date survey of this class of supplementary difference sets in arbitrary Abelian groups of odd order v < 100. o. Introduction Supplem...
متن کاملConstrained D-and D 1 -optimal Designs for Polynomial Regression
In the common polynomial regression model of degree m we consider the problem of determining the D-and D 1-optimal designs subject to certain constraints for the D 1-eeciencies in the models of degree m ? j; m ? j + 1; : : : ; m + k (m > j 0; k 0 given). We present a complete solution of these problems, which on the one hand allow a fast computation of the constrained optimal designs and on the...
متن کاملBayesian Optimal Interval Designs for Phase I Clinical Trials
In phase I trials, effectively treating patients and minimizing the chance of exposing them to subtherapeutic and overly toxic doses are clinician’s top priority. Motived by this practical consideration, we propose Bayesian optimal interval (BOIN) designs to find the maximum tolerated dose (MTD) and minimize the probability of inappropriate dose assignments for patients. We show, both theoretic...
متن کاملذخیره 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: Statistics in Medicine
سال: 2019
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.8148