Sample size calculation for method validation using linear regression

E.A. Colosimo, F.R.B. Cruz, J.L.O. Miranda, T. Woensel, van

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
2 Downloads (Pure)

Abstract

In this article, we present a method for sample size calculation for studies involving both the intercept and slope parameters of a simple linear regression model. Some methods have been proposed in the literature to determine the adequate sample size. However, they are usually based on the line slope only. We propose a method based on the F statistic that involves both the intercept and the slope parameters of the model. The validation process is conducted by fitting a simple linear regression model and by testing a zero intercept and unity slope hypothesis. Compared to a traditional method and using Monte Carlo simulations, encouraging results attest for the clear superiority of the proposed method. The article ends with a real-life example showing the value of the new method in practice.
Original languageEnglish
Pages (from-to)505-516
Number of pages12
JournalJournal of Statistical Computation and Simulation
Volume77
Issue number6
DOIs
Publication statusPublished - 2007

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