Methods of sample size calculation for clinical trials

Tracy, Michael (2009) Methods of sample size calculation for clinical trials. MSc(R) thesis, University of Glasgow.

Full text available as:
[thumbnail of MT_MSC_Feb_2009.pdf] PDF
Download (931kB)
Printed Thesis Information:


Sample size calculations should be an important part of the design of a trial, but are researchers choosing sensible trial sizes? This thesis looks at ways of determining appropriate sample sizes for Normal, binary and ordinal data.

The inadequacies of existing sample size and power calculation software and methods are considered, and new software is offered that will be of more use to researchers planning randomised clinical trials. The software includes the capacity to assess the power and required sample size for incomplete block crossover trial designs for Normal data.

Following on from these the difference between calculated power for published trials and the actual results are investigated. As a result, the appropriateness of the standard equations to determine a sample size is questioned- in particular the effect of using a variance estimate based on a sample variance from a pilot study is considered.

Taking into account the distribution of this statistic alternative approaches beyond power are considered that take into account the uncertainty in sample variance. Software is also presented that will allow these new types of sample size and Expected Power calculations to be carried out.

Item Type: Thesis (MSc(R))
Qualification Level: Masters
Keywords: sample size, clinical trial, expected power, power, ordinal data, Normal data, binary data, crossover, parallel, incomplete blocks
Subjects: R Medicine > R Medicine (General)
Colleges/Schools: College of Science and Engineering > School of Mathematics and Statistics > Statistics
Supervisor's Name: Senn, Prof. Stephen
Date of Award: 2009
Depositing User: Mr Michael Tracy
Unique ID: glathesis:2009-671
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 16 Dec 2009
Last Modified: 10 Dec 2012 13:24

Actions (login required)

View Item View Item


Downloads per month over past year