Sampling: how you choose people is as important as how you analyse their data

Title: Sampling: how you choose people is as important as how you analyse their data
Creator: Jones, Michael P.; Attia, John R.
Relation: Medical Journal of Australia Vol. 206, Issue 2, p. 66-68.e1
Publisher Link: http://dx.doi.org/10.5694/mja16.00521
Publisher: Wiley-Blackwell
Resource Type: journal article
Date: 2017
Description: Much attention is paid in research publications to the methods of statistical analysis. Research design, in contrast, receives less consideration, despite the fact that it is critical; if the research design is poor, no amount of complex statistical analysis can extract useful information from the data collected. In this article, we focus on the selection of subjects for medical research studies, and outline several sampling strategies and their implications for statistical analysis. As a high level overview of sampling in medical research, we do not go into deep technical detail. Further, we discuss how to obtain a sample, but not how large the sample should be; we refer readers to Lachin for an introduction to the important topic of sample size and statistical power calculations.
Subject: sampling; statistical analysis; research design; medical research
Identifier: http://hdl.handle.net/1959.13/1399033
Identifier: uon:34521
Identifier: ISSN:0025-729X
Language: eng
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