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Updated: Jul 18, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
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Published on: June 23, 2022

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加拿大COVID-19测试和阳性状况的社会经济决定因素的比较:多省份分析

Lilia Antonova1,2, Chandy Somayaji3, Jillian Cameron3

  • 1Department of Otolaryngology-Head and Neck Surgery, University of Ottawa, Ottawa, ON, Canada.

PloS one
|August 23, 2023
PubMed
概括

社会弱势群体面临着更大的COVID-19测试差异. 收入,种族和脆弱性等因素影响了加拿大对SARS-CoV-2的测试访问和积极结果.

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Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Residuals and Least-Squares Property

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
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A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
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