Optimizing trial design: sequential, adaptive, and enrichment strategies.

نویسندگان

  • Cyrus Mehta
  • Ping Gao
  • Deepak L Bhatt
  • Robert A Harrington
  • Simona Skerjanec
  • James H Ware
چکیده

Copyright © 2009 American Heart Association. All rights reserved. Print ISSN: 0009-7322. Online 72514 Circulation is published by the American Heart Association. 7272 Greenville Avenue, Dallas, TX DOI: 10.1161/CIRCULATIONAHA.108.809707 2009;119;597-605 Circulation and James H. Ware Cyrus Mehta, Ping Gao, Deepak L. Bhatt, Robert A. Harrington, Simona Skerjanec Optimizing Trial Design: Sequential, Adaptive, and Enrichment Strategies http://circ.ahajournals.org/cgi/content/full/119/4/597 located on the World Wide Web at: The online version of this article, along with updated information and services, is

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research.

The management of many health disorders often entails a sequential, individualized approach whereby treatment is adapted and readapted over time in response to the specific needs and evolving status of the individual. Adaptive interventions provide one way to operationalize the strategies (e.g., continue, augment, switch, step-down) leading to individualized sequences of treatment. Often, a wid...

متن کامل

Asymptotic properties of the sample mean in adaptive sequential sampling with multiple selection criteria

‎We extend the method of adaptive two-stage sequential sampling to‎‎include designs where there is more than one criteria is used in‎‎deciding on the allocation of additional sampling effort‎. ‎These‎‎criteria‎, ‎or conditions‎, ‎can be a measure of the target‎‎population‎, ‎or a measure of some related population‎. ‎We develop‎‎Murthy estimator for the design that is unbiased estimators for‎‎t...

متن کامل

Improving the Design and Discovery of Dynamic Treatment Strategies Using Recent Results in Sequential Decision-Making

In recent years, we have investigated algorithmic methods for automatically discovering and optimizing sequential treatments for chronic and life-threatening diseases. In this talk I will discuss two aspects of this work, first the problem of efficiently collecting data to learn good sequential treatment strategies, and second the problem of using data collected in multi-stage sequential trials...

متن کامل

Adaptive enrichment designs: applications and challenges

2015 Our improving understanding of disease biology has reinforced the idea that many diseases are heterogeneous collections with different causal mechanisms. As such, the biomedical field has focused on developing targeted therapies, effective in only some subset of the population with a given disease. However, characterizing these subsets has been a challenge – often there is insufficient inf...

متن کامل

Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach

Experimentation is at the heart of scientific inquiry. In the behavioral and neural sciences, where only a limited number of observations can often be made, it is ideal to design an experiment that leads to the rapid accumulation of information about the phenomenon under study. Adaptive experimentation has the potential to accelerate scientific progress by maximizing inferential gain in such re...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Circulation

دوره 119 4  شماره 

صفحات  -

تاریخ انتشار 2009