Klerman Elizabeth B, Wang Wei, Phillips Andrew J K, Bianchi Matt T
Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts.
Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.
J Biol Rhythms. 2017 Feb;32(1):18-25. doi: 10.1177/0748730416670051. Epub 2016 Oct 25.
This article is part of a Journal of Biological Rhythms series exploring analysis and statistical topics relevant to researchers in biological rhythms and sleep research. The goal is to provide an overview of the most common issues that arise in the analysis and interpretation of data in these fields. In this article, we address issues related to the collection of multiple data points from the same organism or system at different times, since such longitudinal data collection is fundamental to the assessment of biological rhythms. Rhythmic longitudinal data require additional specific statistical considerations, ranging from curve fitting to threshold definitions to accounting for correlation structure. We discuss statistical analyses of longitudinal data including issues of correlational structure and stationarity, markers of biological rhythms, demasking of biological rhythms, and determining phase, waveform, and amplitude of biological rhythms.
本文是《生物节律杂志》系列文章的一部分,该系列探讨了与生物节律和睡眠研究领域的研究人员相关的分析和统计主题。目标是概述这些领域在数据的分析和解释中出现的最常见问题。在本文中,我们讨论与在不同时间从同一生物体或系统收集多个数据点相关的问题,因为这种纵向数据收集对于生物节律的评估至关重要。有节律的纵向数据需要额外的特定统计考量,范围从曲线拟合到阈值定义再到考虑相关结构。我们讨论纵向数据的统计分析,包括相关结构和平稳性问题、生物节律的标志物、生物节律的去掩盖以及确定生物节律的相位、波形和幅度。