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A method is presented to plan the required sample size when estimating regression-based reference limits.

Abstract：

BACKGROUND AND OBJECTIVE:Reference limits are widely used in anthropometry, the behavioral sciences, medicine, and clinical chemistry. They describe the distribution of a quantitative variable in a healthy population, and are often a smooth function of age or another determinant. Thus, instead of estimating reference limits separately for several age groups, it is more economical and parsimonious to use regression methods to estimate reference limits as a function of age. Although the variability of regression-based reference limits has been addressed previously, the available methods to determine the sample sizes needed to estimate them are neither transparent nor user-friendly. METHODS:We propose a simple and intuitive formula using margins of error, to project the sample sizes required to achieve a given degree of precision, for different sampling strategies. RESULTS:We present two examples for the calculation of the sample size required to estimate a specific reference limit using various age distributions. CONCLUSION:We provide a simple formula to calculate the sample size needed to estimate a specific reference limit to a specified degree of precision. The structure of the formula can easily accommodate different age-sampling strategies.

journal_name

J Clin Epidemiol

journal_title

Journal of clinical epidemiology

authors

Bellera CA,Hanley JA

doi

10.1016/j.jclinepi.2006.09.004

subject

Has Abstract

pub_date

2007-06-01 00:00:00

pages

610-5

issue

6

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(06)00357-X

journal_volume

60

pub_type

杂志文章

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