Optimal Design in Hierarchical Models with application in Multi-center Trials

07/26/2018
by   Maryna Prus, et al.
0

Hierarchical random effect models are used for different purposes in clinical research and other areas. In general, the main focus is on population parameters related to the expected treatment effects or group differences among all units of an upper level (e.g. subjects in many settings). Optimal design for estimation of population parameters are well established for many models. However, optimal designs for the prediction for the individual units may be different. Several settings are identiffed in which individual prediction may be of interest. In this paper we determine optimal designs for the individual predictions, e.g. in multi-center trials, and compare them to a conventional balanced design with respect to treatment allocation. Our investigations show, that balanced designs are far from optimal if the treatment effects vary strongly as compared to the residual error and more subjects should be recruited to the active (new) treatment in multi-center trials. Nevertheless, effciency loss may be limited resulting in a moderate sample size increase when individual predictions are foreseen with a balanced allocation.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/03/2019

Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects

This article presents a novel adaptive design algorithm that can be used...
research
04/13/2020

Optimizing the allocation of trials to sub-regions in multi-environment crop variety testing

New crop varieties are extensively tested in multi-environment trials in...
research
06/15/2018

Imbalanced Randomization in Non-Inferiority Trials

Randomization is a common technique used in clinical trials to eliminate...
research
02/14/2021

Optimal designs for the development of personalized treatment rules

In the present paper, personalized treatment means choosing the best tre...
research
06/15/2018

Imbalanced Randomization in Non-Inferiority Trial

Randomization is a common technique used in clinical trials to eliminate...
research
12/06/2018

Adaptive multicenter designs for continuous response clinical trials in the presence of an unknown sensitive subgroup

The partial effectiveness of drugs is of importance to the pharmaceutica...
research
10/21/2020

Efficient Balanced Treatment Assignments for Experimentation

In this work, we reframe the problem of balanced treatment assignment as...

Please sign up or login with your details

Forgot password? Click here to reset