Nonparametric response‐adaptive randomization for continuous responses. (27th August 2018)
- Record Type:
- Journal Article
- Title:
- Nonparametric response‐adaptive randomization for continuous responses. (27th August 2018)
- Main Title:
- Nonparametric response‐adaptive randomization for continuous responses
- Authors:
- Liu, Zhongqiang
Hu, Feifang
Zhang, Li‐Xin - Abstract:
- Abstract : Many response‐adaptive randomization procedures have been proposed and studied over the past few decades. However, most of these procedures are based on parametric structure and do not directly apply to nonparametric models. In this paper, we propose a response‐adaptive randomization procedure based on Mann‐Whitney U test statistic. Under widely satisfied conditions, we derive asymptotic properties of the randomization procedure and further obtain power functions in form under Mann‐Whitney U test. Simulations show the proposed procedure is more robust and more ethical than classical response‐adaptive randomization procedures in some circumstances. Advantages of the procedure are also illustrated in a redesigned real clinical trial.
- Is Part Of:
- Pharmaceutical statistics. Volume 17:Number 6(2018)
- Journal:
- Pharmaceutical statistics
- Issue:
- Volume 17:Number 6(2018)
- Issue Display:
- Volume 17, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 17
- Issue:
- 6
- Issue Sort Value:
- 2018-0017-0006-0000
- Page Start:
- 781
- Page End:
- 796
- Publication Date:
- 2018-08-27
- Subjects:
- allocation proportion function -- comparative probability -- ethics -- Mann‐Whitney U test -- power
Pharmacy -- Statistical methods -- Periodicals
Pharmacy -- Statistics -- Periodicals
615.10727 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/pst.1900 ↗
- Languages:
- English
- ISSNs:
- 1539-1604
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6444.125000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8919.xml