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SM Journal of Biometrics & Biostatistics

Practical Issues in Sample Size Determination for Correlation Coefficient Inference

[ ISSN : 2573-5470 ]

Abstract
Details

Received: 12-Mar-2018

Accepted: 19-Mar-2018

Published: 22-Mar-2018

Research Article | Volume 3 - Issue 1 | Article DOI :

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Stephen W Looney*

Department of Population Health Sciences, Augusta University, USA

Corresponding Author:

Stephen W Looney, Department of Population Health Sciences, Augusta University, USA, Tel: (706) 721 4846

Keywords

Confidence Interval; Fisher Z-Transform; Hypothesis Test; Interval Width; Kendall Coefficient; Pearson Correlation; Spearman Correlation; Statistical Power

Abstract

Determination of the appropriate sample size to use when performing inference for a single Pearson correlation coefficient ρ is usually based on achieving sufficient power for the test of H0 : ρ = 0. However, sample sizes found using this method can yield confidence intervals that are so wide that they provide very little useful information about the magnitude of the population correlation. Alternative approaches for determining the appropriate sample size are proposed and compared to the "usual" method.

Citation

Looney SW. Practical Issues in Sample Size Determination for Correlation Coefficient Inference. SM J Biometrics Biostat. 2018; 3(1): 1027.