Sample size calculations for model validation in linear regression analysis

BMC Medical Research Methodology

Show-Li Jan¹  Gwowen Shieh² 

[1] Department of Applied Mathematics, Chung Yuan Christian University;Department of Management Science, National Chiao Tung University;

关键词: Linear regression;    Model validation;    Power;    Sample size;    Stochastic predictor;   

DOI  :  10.1186/s12874-019-0697-9

来源: DOAJ

【 摘 要 】

Abstract Background Linear regression analysis is a widely used statistical technique in practical applications. For planning and appraising validation studies of simple linear regression, an approximate sample size formula has been proposed for the joint test of intercept and slope coefficients. Methods The purpose of this article is to reveal the potential drawback of the existing approximation and to provide an alternative and exact solution of power and sample size calculations for model validation in linear regression analysis. Results A fetal weight example is included to illustrate the underlying discrepancy between the exact and approximate methods. Moreover, extensive numerical assessments were conducted to examine the relative performance of the two distinct procedures. Conclusions The results show that the exact approach has a distinct advantage over the current method with greater accuracy and high robustness.

【 授权许可】

Unknown