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相关概念视频

The Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

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While the differential rate law relates the rate and concentrations of reactants, a second form of rate law called the integrated rate law relates concentrations of reactants and time. Integrated rate laws can be used to determine the amount of reactant or product present after a period of time or to estimate the time required for a reaction to proceed to a certain extent. For example, an integrated rate law helps determine the length of time a radioactive material must be stored for its...
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Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

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Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
481
Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

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The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
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Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

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Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
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相关实验视频

Updated: Jun 25, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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一个灵活的时间变化系数率模型,用于面板计数数据.

Dayu Sun1, Yuanyuan Guo2, Yang Li1

  • 1Department of Biostatistics and Health Data Science, Indiana University School of Medicine and Richard M. Fairbanks School of Public Health, Indianapolis, IN, 46202, USA.

Lifetime data analysis
|May 28, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了面板计数数据的新型半参数速率模型,在反复事件分析中有效处理时间变化的共变量. 新模型提供了一致的和异常正常的估计器,优于现有方法.

关键词:
面板计数数据数据 面板计数数据收费率模型的使用率.的估计 的估计时间变化的效应.

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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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科学领域:

  • 生物统计学 生物统计学
  • 流行病学 流行病学
  • 生存分析的分析.

背景情况:

  • 经常性事件研究通常需要将面板计数回归到模型事件率.
  • 由于理论和计算方面的挑战,现有的速率模型与时间变化的协变量效应作斗争.
  • 平均模型受到单调性假设的限制,通常被波动的共同变量所违反.

研究的目的:

  • 为面板计数数据提供一个新的半参数率模型.
  • 解决现有模型在处理时间变化的协变量方面的局限性.
  • 为拟议的模型提供理论基础和高效的计算方法.

主要方法:

  • 为面板计数数据开发了一种新的半参数速率模型.
  • 提出了一个高效的预期-最大化 (EM) 算法用于模型拟合.
  • 在EM算法中整合了三种不同的差异估计方法.
  • 避免了复杂的数值集成和凸次数算法.

主要成果:

  • 已被证明,拟议的估计器是一致的,并且在异常分布上具有正常分布.
  • 模拟研究表明,新模型的有限样本性能非常出色.
  • 该模型成功分析了有关性传播感染的真实世界临床数据.

结论:

  • 新的半参数速率模型有效地处理面板计数数据中的时间变化的共变量.
  • 高效的EM算法为模型拟合提供了一种实用且强大的方法.
  • 这种方法在分析各种研究领域的反复事件数据方面提供了宝贵的进步.