Abstract
AbstractWe propose a new method for assessing length‐related biases in standard weight (Ws) equations computed by the regression‐line−percentile method. We evaluated the performance of the new method relative to two previous methods for assessing length‐related biases using 15 data sets from which Ws equations have been computed. The new method detected potentially serious length‐related biases in 10 Ws equations, whereas one of the previously used methods failed to detect any biologically significant biases and the other method detected biases in only one equation. The new method can detect curvilinear relationships between Ws and length, so it provides insight that is not available from previous methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
