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Perspective: Planning and Conducting Statistical Analyses for Human Nutrition Randomized Controlled Trials: Ensuring
Kristina S Petersen1, Penny M Kris-Etherton2, George P McCabe3
1Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.
This paper outlines best practices for statistical analysis in human nutrition randomized controlled trials (RCTs). Following these guidelines ensures research transparency, validity, and reproducibility for nutrition intervention studies.
Area of Science:
- Nutrition Science
- Biostatistics
- Clinical Trials
Background:
- Robust statistical methods are essential for credible human nutrition research.
- Transparency, validity, and reproducibility depend on appropriate statistical planning, execution, and reporting.
- The NURISH (NUtrition inteRventIon reSearcH) series provides comprehensive guidance for nutrition RCTs.
Purpose of the Study:
- To present best practices for statistical analysis in human nutrition randomized controlled trials (RCTs).
- To guide researchers in developing statistical analysis plans a priori.
- To offer recommendations for conducting and reporting statistical analyses in nutrition research.
Main Methods:
- Overview of best practices for statistical analysis plan development.
- Guidance on the execution of statistical analyses.
- Recommendations for reporting statistical methods and results.
- References to other NURISH publications for detailed trial conduct.
Main Results:
- Established best practices for a priori statistical analysis plans.
- Recommended procedures for conducting statistical analyses.
- Guidelines for transparent and reproducible reporting of statistical results.
Conclusions:
- Adherence to these statistical best practices is critical for human nutrition RCTs.
- The NURISH series collectively offers a framework for high-quality nutrition research.
- Implementing these guidelines enhances the reliability and impact of nutrition intervention studies.
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