Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Methods Mol Biol. 2021;2249:17-34. doi: 10.1007/978-1-0716-1138-8_2.
Clinical epidemiological research entails assessing the burden and etiology of disease, the diagnosis and prognosis of disease, the efficacy of preventive measures or treatments, the analysis of the risks and benefits of diagnostic and therapeutic maneuvers, and the evaluation of health care services. In all areas, the main focus is to describe the relationship between exposure and outcome and to determine one of the following: prevalence, incidence, cause, prognosis, or effect of treatment. The accuracy of these conclusions is determined by the validity of the study. Validity is determined by addressing potential biases and possible confounders that may be responsible for the observed association. Therefore, it is important to understand the types of bias that exist and also to be able to assess their impact on the magnitude and direction of the observed effect. The following chapter reviews the epidemiological concepts of selection bias, information bias, intervention bias, and confounding and discusses ways in which these sources of bias can be minimized.
临床流行病学研究包括评估疾病的负担和病因、疾病的诊断和预后、预防措施或治疗的效果、诊断和治疗操作的风险和收益分析,以及医疗保健服务的评估。在所有领域,主要重点是描述暴露与结果之间的关系,并确定以下之一:患病率、发病率、病因、预后或治疗效果。这些结论的准确性取决于研究的有效性。有效性是通过解决可能导致观察到的关联的潜在偏差和可能的混杂因素来确定的。因此,了解存在的偏倚类型并能够评估它们对观察到的效果的大小和方向的影响非常重要。以下章节回顾了选择偏倚、信息偏倚、干预偏倚和混杂的流行病学概念,并讨论了如何最小化这些偏倚来源。