An extension of Bayesian predictive sample size selection designs for monitoring efficacy and safety. (2nd June 2015)
- Record Type:
- Journal Article
- Title:
- An extension of Bayesian predictive sample size selection designs for monitoring efficacy and safety. (2nd June 2015)
- Main Title:
- An extension of Bayesian predictive sample size selection designs for monitoring efficacy and safety
- Authors:
- Teramukai, Satoshi
Daimon, Takashi
Zohar, Sarah
Bretz, Frank - Abstract:
- <abstract abstract-type="main" id="sim6550-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p id="sim6550-para-0001">Most exploratory clinical trials in cancer are designed as single‐arm trials using a binary efficacy outcome with or without interim monitoring. In this context, we have proposed a Bayesian adaptive design denoted as predictive sample size selection design (PSSD), which considered a binary efficacy outcome associated with early futility stopping (<italic>Statistics in Medicine</italic> 2012; 31: 4243‐4254). As a matter of course, it would be more ethical and informative to evaluate safety as well as efficacy during the course of a trial. However, in most of the trials, only major adverse events are taken into account for early termination of the trial, and safety itself is used as a secondary endpoint. In this paper, we propose an extension of the PSSD to monitor efficacy, take into consideration the sample size adaptation during the trial and add continuous monitoring of safety to the trial design. This method is developed in the Bayesian framework, in which a decision to stop for reasons of safety can be made based on the posterior probability or predictive probability, not necessarily at the time of pre‐specified monitoring for efficacy. We investigate the operating characteristics of the proposed method through simulation studies and show that the posterior probability‐based method with less informative prior to monitor safety has more<abstract abstract-type="main" id="sim6550-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p id="sim6550-para-0001">Most exploratory clinical trials in cancer are designed as single‐arm trials using a binary efficacy outcome with or without interim monitoring. In this context, we have proposed a Bayesian adaptive design denoted as predictive sample size selection design (PSSD), which considered a binary efficacy outcome associated with early futility stopping (<italic>Statistics in Medicine</italic> 2012; 31: 4243‐4254). As a matter of course, it would be more ethical and informative to evaluate safety as well as efficacy during the course of a trial. However, in most of the trials, only major adverse events are taken into account for early termination of the trial, and safety itself is used as a secondary endpoint. In this paper, we propose an extension of the PSSD to monitor efficacy, take into consideration the sample size adaptation during the trial and add continuous monitoring of safety to the trial design. This method is developed in the Bayesian framework, in which a decision to stop for reasons of safety can be made based on the posterior probability or predictive probability, not necessarily at the time of pre‐specified monitoring for efficacy. We investigate the operating characteristics of the proposed method through simulation studies and show that the posterior probability‐based method with less informative prior to monitor safety has more reasonable performance. Copyright © 2015 John Wiley &amp; Sons, Ltd.</p> </abstract> … (more)
- Is Part Of:
- Statistics in medicine. Volume 34:Number 22(2015)
- Journal:
- Statistics in medicine
- Issue:
- Volume 34:Number 22(2015)
- Issue Display:
- Volume 34, Issue 22 (2015)
- Year:
- 2015
- Volume:
- 34
- Issue:
- 22
- Issue Sort Value:
- 2015-0034-0022-0000
- Page Start:
- 3029
- Page End:
- 3039
- Publication Date:
- 2015-06-02
- Subjects:
- Medical statistics -- Periodicals
Statistique médicale -- Périodiques
Statistiques médicales -- Périodiques
610.727 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/sim.6550 ↗
- Languages:
- English
- ISSNs:
- 0277-6715
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8453.576000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3450.xml