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遗传性疾病临床研究中的偏倚

Bias in clinical studies of genetic diseases.

作者信息

Stuckless Susan, Parfrey Patrick S

机构信息

Department of Medicine, Memorial University of Newfoundland, St. John's, Canada.

出版信息

Methods Mol Biol. 2009;473:171-86. doi: 10.1007/978-1-59745-385-1_10.

Abstract

Clinical epidemiological research in genetic diseases entails the assessment of phenotypes, the burden and etiology of disease, and the efficacy of preventive measures or treatments in populations. In all areas, the main focus is to describe the relationship between exposure and outcome and 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 be able to assess their impact on the magnitude and direction of the observed effect. This chapter reviews the epidemiological concepts of selection bias, information bias, and confounding and discusses ways in which these sources of bias can be minimized.

摘要

遗传性疾病的临床流行病学研究需要评估人群中的表型、疾病负担和病因,以及预防措施或治疗方法的疗效。在所有领域,主要重点是描述暴露与结果之间的关系,并确定以下内容之一: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。有效性通过解决可能导致观察到的关联的潜在偏倚和可能的混杂因素来确定。因此,了解存在的偏倚类型并能够评估它们对观察到的效应的大小和方向的影响非常重要。本章回顾了选择偏倚、信息偏倚和混杂的流行病学概念,并讨论了将这些偏倚来源降至最低的方法。

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