Abstract
The purpose of this study was to examine how using the mean of two consecutive measurements vs. one measurement post-treatment influences the sample size required to detect changes in cardiometabolic risk factors in dietary studies. For a given statistical power, using the mean of two measurements taken on consecutive days post-treatment instead of a single measurement significantly reduces the sample size required to observe changes in triglyceride, total apolipoprotein B100, and C-reactive protein concentrations in the context of a supplementation study. In the context of a controlled-feeding study, this gain is seen only in the case of change in triglyceride concentrations.
Sign-in/Register to access full text options 
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.
