Literature DB >> 7633878

Economics in sample size determination for clinical trials.

D J Torgerson1, M Ryan, J Ratcliffe.   

Abstract

In the design of clinical trials, sample size determination is usually undertaken by statisticians and clinicians. It is rare for health economists to be involved in this aspect of trial design. However, there are a number of outcome changes that are of 'economic significance', and it is important for trial designers and funders to be aware of these before planning, funding and mounting a trial. In this paper we demonstrate through the use of three examples (prevention of osteoporosis, management of infertility, and endometriosis) how economics can be used to influence the size of a clinical trial. Trials that are too small or too large waste research resources; health economics can lead to more efficient trial designs.

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Year:  1995        PMID: 7633878

Source DB:  PubMed          Journal:  QJM        ISSN: 1460-2393


  4 in total

1.  Economics notes: cost effectiveness calculations and sample size.

Authors:  D J Torgerson; M K Campbell
Journal:  BMJ       Date:  2000-09-16

2.  Design considerations in a clinical trial of a cognitive behavioural intervention for the management of low back pain in primary care: Back Skills Training Trial.

Authors:  Sarah E Lamb; Ranjit Lall; Zara Hansen; Emma J Withers; Frances E Griffiths; Ala Szczepura; Julie Barlow; Martin R Underwood
Journal:  BMC Musculoskelet Disord       Date:  2007-02-22       Impact factor: 2.362

Review 3.  Methods for specifying the target difference in a randomised controlled trial: the Difference ELicitation in TriAls (DELTA) systematic review.

Authors:  Jenni Hislop; Temitope E Adewuyi; Luke D Vale; Kirsten Harrild; Cynthia Fraser; Tara Gurung; Douglas G Altman; Andrew H Briggs; Peter Fayers; Craig R Ramsay; John D Norrie; Ian M Harvey; Brian Buckley; Jonathan A Cook
Journal:  PLoS Med       Date:  2014-05-13       Impact factor: 11.069

4.  A study of target effect sizes in randomised controlled trials published in the Health Technology Assessment journal.

Authors:  Joanne C Rothwell; Steven A Julious; Cindy L Cooper
Journal:  Trials       Date:  2018-10-10       Impact factor: 2.279

  4 in total

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