Biostatistical Options for Quantitative Diet Analysis,Journal of Agricultural and Food Chemistry

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Biostatistical Options for Quantitative Diet Analysis
Journal of Agricultural and Food Chemistry ( IF 5.7 ) Pub Date : 2018-12-06 00:00:00 , DOI: 10.1021/acs.jafc.8b05156
Iram Maqsood _{1,

2} , Syed Moshin Bukhari ₃ , Rabea Ejaz ₂ , Saima Kausar ₄ , Muhammad Nadeem Abbas ₄ , Bahar Ali ₅ , Rong Ke ₁

Affiliation

Sufficient statistics knowledge is crucial for the correct design of a research plan. The elucidations of results are interpretive only if appropriate statistical methods are applied. Statistical strategies are a particular approach to demonstrate complicated information in broad and explicable conclusions. The emergence of biostatistical approaches for diet evaluation has improved the accuracy of diet estimation, and different methodologies of data integration promise to magnify our understanding of ecological communities. The present study aimed to compile multiple statistical methods used for diet analysis. More specifically, the significant analysis used in diet assessment, central expectations, and preferences related to each measure was conceptualized. In addition, the ability of each test to evaluate diversity, richness, differentiation, fluctuation, similarity, and quantification of multiple diet items was summarized. Moreover, different options were proposed for researchers to select the appropriate statistical tests. This study covers a framework, aim, and understanding of the statistical test methods of diet analysis.

中文翻译：

定量饮食分析的生物统计学选择

足够的统计知识对于正确设计研究计划至关重要。仅当采用适当的统计方法时，结果的解释才具有解释性。统计策略是一种在广泛且可解释的结论中展示复杂信息的特殊方法。饮食评估的生物统计方法的出现提高了饮食估计的准确性，并且不同的数据整合方法有望扩大我们对生态群落的理解。本研究旨在汇编用于饮食分析的多种统计方法。更具体地说，用于饮食评估，中心期望值以及与每种措施相关的偏好的重要分析均已概念化。此外，每项测试都具有评估多样性，丰富性，差异性，总结了多种饮食项目的波动，相似性和量化。此外，为研究人员提出了不同的选择，以选择适当的统计检验。这项研究涵盖了饮食分析的统计测试方法的框架，目的和理解。

更新日期：2018-12-06

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