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 language | English |
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Pages (from-to) | 505-516 |
Number of pages | 12 |
Journal | Journal of Statistical Computation and Simulation |
Volume | 77 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2007 |