SAGE Journals Online
Advertisement
Sign In to gain access to subscriptions and/or personal tools.

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Advertisement

Sign In to gain access to subscriptions and/or personal tools.
Statistical Methods in Medical Research
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Pezeshk, H.
Right arrow Articles by Gittins, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Pezeshk, H.
Right arrow Articles by Gittins, J.
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Bayesian approach to determine the number of subsequent users of a new treatment

Hamid Pezeshk

Center of Excellence in Biomathematics and School of Mathematics, Statistics and Computer Science, University College of Science, University of Tehran, Tehran, Iran, pezeshk{at}khayam.ut.ac.ir

John Gittins

Department of Statistics, University of Oxford, Oxford, UK

The aim of this article is to discuss the distribution function of the number of subsequent users of a new treatment. A Bayesian approach is applied. Using the fact that the number of subsequent users of the new treatment will not be high, unless it is, in the statistical and also in the clinical sense, significantly better than the existing one, we obtain the distribution function of the number of subsequent users of a new treatment for which we assume the data have come from a normal distribution.

Statistical Methods in Medical Research, Vol. 15, No. 6, 585-592 (2006)
DOI: 10.1177/0962280206070640
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Clin TrialsHome page
A. R Willan
Optimal sample size determinations from an industry perspective based on the expected value of information
Clinical Trials, December 1, 2008; 5(6): 587 - 594.
[Abstract] [PDF]


Advertisement