信号变化、偏倚、噪声及效应大小对普通感冒治疗研究中统计学显著性的影响。

The influence of signal variation, bias, noise and effect size on statistical significance in treatment studies of the common cold.

作者信息

Gwaltney J M, Buier R M, Rogers J L

机构信息

Department of Internal Medicine, University of Virginia Health Sciences Center, Charlottesville 22908, USA.

出版信息

Antiviral Res. 1996 Mar;29(2-3):287-95. doi: 10.1016/0166-3542(95)00935-3.

DOI:10.1016/0166-3542(95)00935-3

PMID:8739607

Abstract

Many groups are working on new and improved methods of common cold treatment that include antivirals, synthetic viral receptor, compounds which block symptom pathways, and combinations of these approaches. Because the common cold syndrome is in large part subjective, symptom measurement remains an important parameter in evaluating the effectiveness of cold treatments. This review examines the features of the experimental and natural cold testing methods that effect recognition of illness signal and influence its variance and strength. Also, the importance of changes in signal variance and in the magnitude of therapeutic effect size as they relate to statistical probability were compared using a symptom data set from young adults with experimental rhinovirus colds.

摘要

许多研究团队正在致力于研发新的、更有效的普通感冒治疗方法，这些方法包括使用抗病毒药物、合成病毒受体、阻断症状途径的化合物以及这些方法的组合。由于普通感冒综合征在很大程度上是主观的，症状测量仍然是评估感冒治疗效果的一个重要参数。本综述探讨了实验性和自然感冒测试方法的特点，这些特点会影响疾病信号的识别，并影响其变化和强度。此外，利用来自感染实验性鼻病毒感冒的年轻人的症状数据集，比较了信号变化和治疗效果大小变化与统计概率相关的重要性。