test Browse by Author Names Browse by Titles of Works Browse by Subjects of Works Browse by Issue Dates of Works

Advanced Search
& Collections
Issue Date   
Sign on to:   
Receive email
My Account
authorized users
Edit Profile   
About T-Space   

T-Space at The University of Toronto Libraries >
University of Toronto at Scarborough >
Bioline International Legacy Collection >
Bioline International Legacy Collection >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/2414

Title: Sample size and power analysis in medical research
Authors: Zodpey, Sanjay P.
Keywords: Dermatology
Sample size, Power analysis, Medical research. dv04041
Issue Date: Mar-2004
Publisher: Medknow Publications on behalf of The Indian Association of Dermatologists, Venereologists and Leprologists (IADVL)
Citation: Indian Journal of Dermatology, Venereology and Leprology 70(2)
Abstract: Among the questions that a researcher should ask when planning a study is "How large a sample do I need?" If the sample size is too small, even a well conducted study may fail to answer its research question, may fail to detect important effects or associations, or may estimate those effects or associations too imprecisely. Similarly, if the sample size is too large, the study will be more difficult and costly, and may even lead to a loss in accuracy. Hence, optimum sample size is an essential component of any research. When the estimated sample size can not be included in a study, post-hoc power analysis should be carried out. Approaches for estimating sample size and performing power analysis depend primarily on the study design and the main outcome measure of the study. There are distinct approaches for calculating sample size for different study designs and different outcome measures. Additionally, there are also different procedures for calculating sample size for two approaches of drawing statistical inference from the study results, i.e. confidence interval approach and test of significance approach. This article describes some commonly used terms, which need to be specified for a formal sample size calculation. Examples for four procedures (use of formulae, readymade tables, nomograms, and computer software), which are conventionally used for calculating sample size, are also given
URI: http://bioline.utsc.utoronto.ca/archive/00001520/02/dv04041.pdf
Appears in Collections:Bioline International Legacy Collection

Files in This Item:

File Description SizeFormat
dv04041.pdf117.17 kBAdobe PDF

Items in T-Space are protected by copyright, with all rights reserved, unless otherwise indicated.