Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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

217
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...
217
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

89
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...
89
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

19
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
19
Econometric Views (EViews)01:29

Econometric Views (EViews)

87
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
87
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

53
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
53
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.1K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Variation in early-life maltreatment effects on adolescent psychopathology due to contamination.

Journal of traumatic stress·2026
Same author

Physiological Age and Homeostatic Dysregulation Following Child Maltreatment in Youth.

Molecular psychiatry·2026
Same author

Identifying person-level factors to guide digital mental health treatments for cancer survivors: an ecological momentary assessment study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026
Same author

What Makes Personalized Treatment Work? Mechanisms of Change in Personalized Treatment for Eating Disorders: A Proof-of-Concept Study.

Behavior therapy·2026
Same author

The role of social support on change in C-reactive Protein and BMI among youth with and without child maltreatment history.

Brain, behavior, and immunity·2025
Same author

Developmental Changes in the Association Between Heart Rate Variability and Peer Success Across Early Elementary School.

Psychophysiology·2025

相关实验视频

Updated: May 7, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K

使用贝叶斯模型的最佳仪器选择 模型的平均值 隐含的仪器变量 两阶段最小平方估计器

Teague Henry1, Zachary Fisher2, Kenneth Bollen3

  • 1Psychology & Data Science, University of Virginia.

Structural equation modeling : a multidisciplinary journal
|December 30, 2024
PubMed
概括

一种新方法,即模型隐式仪表变量双阶段贝叶斯式模型平均值 (MIIV-2SBMA),改进了现有的潜在变量模型技术. 它提供了更强大的能力来检测有问题的和弱的工具,帮助统计分析.

关键词:
贝叶斯模型的平均值.经验贝叶斯g-前期的经验.模型隐含的工具变量结构方程建模 结构方程建模两个阶段的最小平方.

更多相关视频

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.3K
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.8K

相关实验视频

Last Updated: May 7, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.3K
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.8K

科学领域:

  • 计量经济学 计量经济学
  • 统计建模 统计建模
  • 隐性变量分析 隐性变量分析

背景情况:

  • 模型隐含的仪表变量二阶段最小平方 (MIIV-2SLS) 是潜在变量模型的估计器.
  • 现有的方程特定的错误规范测试在识别有问题的仪器方面缺乏具体性.
  • 软弱的仪器,目标变量的不良预测器,在统计估计中构成了重大挑战.

研究的目的:

  • 引入一种新的扩展,用于检测特定仪器的错误规格和弱仪器.
  • 开发模型隐含的仪器变量二阶段贝叶斯式模型平均值 (MIIV-2SBMA) 估计器.
  • 增强隐性变量模型中仪器质量测试的特异性和功率.

主要方法:

  • 模型隐含的仪器变量二阶段贝叶斯式模型平均化 (MIIV-2SBMA) 估计器的开发.
  • 一项模拟研究将MIIV-2SBMA性能与MIIV-2SLS.相比较.
  • 在MIIV-2SBMA框架内引入特定仪器的过度识别测试.

主要成果:

  • 在参数估计方面,MIIV-2SBMA表现与MIIV-2SLS相当.
  • 新型仪器特定的过度识别测试显示了在检测有问题的和弱的仪器方面更强大的能力.
  • 使用真实数据对MIIV-2SBMA估计器的实证验证.

结论:

  • 通过改进仪器诊断,MIIV-2SBMA为潜变量建模提供了宝贵的进步.
  • 开发的测试可以更准确地识别仪器变量带来的特定问题.
  • 这种方法提高了依赖工具变量的统计模型的可靠性和可解释性.