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Updated: May 8, 2025

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了解COVID-19对生活质量的影响,使用调查和门德尔随机化

Kexin Jiang1,2, Hua Ji1, Lihong Ma3

  • 1General Surgery Center, The General Hospital of Western Theater Command, Chengdu, 610083, Sichuan, China.

Scientific reports
|December 27, 2024
PubMed
概括

COVID-19在中国显著影响了生活质量 (QoL),睡眠障碍成为主要因素,特别是在老年人中. 疫情还使失眠风险增加了26.7%.

关键词:
在 COVID-19 疫情中,机器学习 机器学习门德尔的随机化心理健康 心理健康生活质量生活的质量.在SF-12尺度尺度上,SF-12是睡眠障碍 睡眠障碍是一种睡眠障碍.

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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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Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
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Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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