医学物理学
参考数据
计算机科学
人口
统计分析
统计
兽医学
医学
病理
数据挖掘
数学
环境卫生
作者
Daniel B. Woodburn,Jeremy J. Bearss,Camille Lake,Natalie L. Twilley,Leon F. Whitney,Joshua R. Porter,Jing Qin,Kevin Footer,Sean Bartlinski,Joe Croghan
标识
DOI:10.1177/01926233251352495
摘要
The veterinary research community requires statistically robust reference intervals in which to contextualize the results of laboratory tests obtained in research studies. While published reference intervals are available for veterinary clinical practice, they typically do not account for differences in animal husbandry, variations in analytical equipment, and the diverse range of species encountered in a research setting. In addition, existing guidelines for statistical calculation of reference intervals do not address commonly encountered issues with data quality, sample size, research-induced population biases, and other impediments. In this manuscript, we document our pipeline to extract, partition, analyze, and statistically summarize in-house clinical pathology data for developing useful reference intervals to support research at the Integrated Research Facility at Fort Detrick (National Institute of Allergy and Infectious Diseases) and showcase a practical application of statistical methodology that can guide other facilities in their own determination of clinical pathology reference intervals.
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