title: Bayesian approach to determine the number of subsequent users of a new treatment.
abstract: 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.
authors.affiliation: Center of Excellence in Biomathematics and School of Mathematics, Statistics and Computer Science, University College of Science, University of Tehran 14155-6455, Iran. pezeshk@khayam.ut.ac.ir
authors.forename: Hamid
authors.initials: H
authors.lastname: Pezeshk
authors.forename: John
authors.initials: J
authors.lastname: Gittins
mesh_terms: D001499:Bayes Theorem; D035843:Biomedical Research / Q000379:methods*; D003198:Computer Simulation; D006301:Health Services Needs and Demand; D006801:Humans; D018401:Sample Size; D016896:Treatment Outcome