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相关概念视频

Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

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SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
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The Law of Cosines01:15

The Law of Cosines

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The Law of Cosines is a fundamental result in trigonometry that relates the lengths of the sides of a triangle to the cosine of one of its angles. It serves as a generalization of the Pythagorean Theorem, enabling calculations in non-right triangles where the simple relationships of right-angled geometry no longer apply. The formula is especially useful in scenarios where direct measurement of one side or angle is not feasible, such as in surveying, navigation, and engineering applications.For...
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Direction Cosines of a Vector01:29

Direction Cosines of a Vector

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Direction cosines, which help describe the orientation of a vector with respect to the coordinate axes, are an essential concept in the field of vector calculus. Consider vector A that is expressed in terms of the Cartesian vector form using i, j, and k unit vectors. The magnitude of vector A is defined as the square root of the sum of the squares of its components. The direction of this vector with respect to the x, y, and z axes is defined by the coordinate direction angles α, β, and γ,...
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Graphical and Analytic Representation of Sinusoids01:20

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Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
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Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
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2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

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Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
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Regression analysis in Microsoft Excel is a powerful statistical method for examining the relationship between a dependent variable and one or more independent variables. It's used extensively in fields such as economics, biology, and business to predict outcomes, understand relationships, and make data-driven decisions. The most common type is linear regression, which attempts to fit a straight line through the data points to model the relationship between variables.
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相关实验视频

Updated: Jan 10, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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一个SAS宏观的多层次Cosinor分析.

Margaret M Doyle1, Terrence E Murphy2, Brienne Miner1

  • 1Section of Geriatrics, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.

Computer methods and programs in biomedicine
|November 26, 2025
PubMed
概括
此摘要是机器生成的。

与传统的两阶段方法相比,多层次的共振子分析为分析周期性数据提供了更方便和更准确的方法. 开发的SAS宏便于这种先进的技术,改善模型适合单个数据.

关键词:
青阶段 (Acrophase) 是一个高阶段.循环节律是指循环节律的时间.一个共同的伴侣或同伴.增长模式的发展模式.梅索尔 (Mesor Mesor) 是一个多层次的多层次的纳迪尔·纳迪尔 (Nadir Nadir) 是一个在这个过程中,R是R.萨斯 SAS SAS 的时间

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Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
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相关实验视频

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科学领域:

  • 生物统计学 生物统计学
  • 时间生物学 时间生物学
  • 统计建模 统计建模

背景情况:

  • 坐标分析模型周期性数据中的周期变化,提供像MESOR,振幅和形等估计.
  • 传统的两阶段共因子分析将曲线单独匹配,并进行下游比较.
  • 多层次的共因子建模允许同时分析多个个体,潜在地提高模型的复杂性和个体数据的合适性.

研究的目的:

  • 介绍多层次的Cosinor模型和随之而来的SAS宏.
  • 为研究人员提供工具,以应用先进的共振子分析.
  • 比较多层次与两阶段的共因子方法的模型匹配.

主要方法:

  • 开发了SAS宏用于多层次的共振子分析.
  • 包括选择随机变量规范和添加分组变量的功能.
  • 进行交叉验证分析,以比较多层次和单层次 (两阶段) 方法.

主要成果:

  • 开发的SAS宏便于模型构建和选择用于多层次的共振子分析.
  • 参数估计,模型合适度测量和图形输出有助于理解模型的适当性.
  • 与单一级方法相比,交叉验证表明模型更适合多级方法.

结论:

  • 多层次的Cosinor分析通过更容易的模型选择来增强单个主体的Cosinor模型.
  • 这种方法可以提供更好的数据,适合个体受试者.
  • 鼓励在研究中更广泛地采用多层次的共振子分析.