THE STATISTICAL-ANALYSIS OF CIRCADIAN PHASE AND AMPLITUDE IN CONSTANT-ROUTINE CORE-TEMPERATURE DATA
THE STATISTICAL-ANALYSIS OF CIRCADIAN PHASE AND AMPLITUDE IN CONSTANT-ROUTINE CORE-TEMPERATURE DATA
复制标题
DOI：
10.1177/074873049200700301
复制
发表时间：
1992-09-01
影响因子：
3.5
通讯作者：
CZEISLER, CA
中科院分区：
文献类型：
--
作者：
BROWN, EN;CZEISLER, CA
从恒定的常规核心温度序列中准确估计内源性昼夜节律起搏器的相位和幅度对于根据本协议收集的数据推断人类生物钟的特性至关重要。本文提出了一套基于谐波回归加相关噪声模型的统计方法，用于根据恒定的常规核心温度数据估计内源性昼夜节律起搏器的相位和幅度。这些方法包括用于计算这些昼夜节律函数的不确定性的贝叶斯蒙特卡罗程序。我们通过对单个受试者的核心温度序列的详细研究来说明这些技术，并描述它们与其他昼夜节律数据分析统计方法的关系。在我们的实验室中，这些方法已成功用于分析 300 多个恒定例程，并提供了从核心温度数据中提取相位和幅度信息的高度可靠的方法。
Accurate estimation of the phases and amplitude of the endogenous circadian pacemaker from constant-routine core-temperature series is crucial for making inferences about the properties of the human biological clock from data collected under this protocol. This paper presents a set of statistical methods based on a harmonic-regression-plus-correlated-noise model for estimating the phases and the amplitude of the endogenous circadian pacemaker from constant-routine core-temperature data. The methods include a Bayesian Monte Carlo procedure for computing the uncertainty in these circadian functions. We illustrate the techniques with a detailed study of a single subject's core-temperature series and describe their relationship to other statistical methods for circadian data analysis. In our laboratory, these methods have been successfully used to analyze more than 300 constant routines and provide a highly reliable means of extracting phase and amplitude information from core-temperature data.