Sample size estimation for trials and other two group comparisons /

When an investigator is designing a study to compare two groups with a continuous outcome, an essential step is the calculation of sample sizes that will allow a reasonable chance (power) of detecting a predetermined target difference (effect size), if it truly exists, at a given level of statistica...

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Bibliographic Details
Main Authors:	Walters, Stephen J. (Author), Simpson, Rebecca M. (Author), Jacques, Richard M. (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications Ltd., 2020.
Series:	SAGE Research Methods Cases : Medicine and Health.
Subjects:	Clinical trials > Case studies. Sampling (Statistics) > Case studies. Tendons > Wounds and injuries > Case studies. Études cliniques > Études de cas. Échantillonnage (Statistique) > Études de cas. Tendons > Lésions et blessures > Études de cas. Clinical trials Sampling (Statistics) Tendons > Wounds and injuries Case studies
Online Access:	Connect to the full text of this electronic book

Description
Summary:	When an investigator is designing a study to compare two groups with a continuous outcome, an essential step is the calculation of sample sizes that will allow a reasonable chance (power) of detecting a predetermined target difference (effect size), if it truly exists, at a given level of statistical significance. Four key components are required to facilitate a suitable sample size calculation. These are the target difference or effect size, the standard deviation of the outcome, and the Type I and Type II errors. This case study will illustrate the process and methods for determining the required sample size using a real case study as an example--the SELF randomized controlled trial to compare a self-managed single exercise program versus usual physiotherapy treatment for rotator cuff tendinopathy.
Physical Description:	1 online resource.
Bibliography:	Includes bibliographical references and index.
ISBN:	9781529741636 1529741637