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

Censoring Survival Data01:09

Censoring Survival Data

68
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
68
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

171
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
171
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

44
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
44
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

31
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
31
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

4.2K
When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
4.2K
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

1.9K
Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
1.9K

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

Analyzing Complex Educational Data: A Data Analytic Framework for Integrating Structured and Unstructured Eye-Tracking Data.

Psychometrika·2026
Same author

Diagnostic Classification Models for Testlets: Methods and Theory.

Psychometrika·2026
Same author

Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach.

The British journal of mathematical and statistical psychology·2025
Same author

Diagnostic Classification Models for Testlets: Methods and Theory.

Psychometrika·2024
Same author

Biclustering of Log Data: Insights from a Computer-Based Complex Problem Solving Assessment.

Journal of Intelligence·2024
Same author

Modeling Not-Reached Items in Timed Tests: A Response Time Censoring Approach.

Psychometrika·2021
Same journal

Proficiency order invariance of MLE, MAP, EAP, and WLE in item response theory.

The British journal of mathematical and statistical psychology·2026
Same journal

Bias and precision in true-score estimation.

The British journal of mathematical and statistical psychology·2026
Same journal

Polychoric correlations under the assumption of elliptical latent traits.

The British journal of mathematical and statistical psychology·2026
Same journal

Regularized reduced rank regression for mixed predictor and response variables.

The British journal of mathematical and statistical psychology·2026
Same journal

A multiple-choice SDT model for cognitive diagnosis models.

The British journal of mathematical and statistical psychology·2026
Same journal

Modular item response and structural equation modelling via measurement and uncertainty preserving parametric modelling.

The British journal of mathematical and statistical psychology·2026
查看所有相关文章

相关实验视频

Updated: Jun 11, 2025

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

6.9K

在潜变量建模中的MCMC停止规则.

Sunbeom Kwon1, Susu Zhang1, Hans Friedrich Köhn1

  • 1University of Illinois, Urbana-Champaign, Urbana, Illinois, USA.

The British journal of mathematical and statistical psychology
|October 10, 2024
PubMed
概括
此摘要是机器生成的。

选择正确的马尔科夫链蒙特卡洛 (MCMC) 停止规则对于准确的潜在变量模型至关重要. 单链方法通常比多链方法产生更好的项目参数准确性.

关键词:
在DINA模型中使用DINA模型.盖尔曼鲁宾的诊断方法吉韦克的诊断是为了诊断.在MCMC算法中,MCMC算法蒙特卡洛标准错误 蒙特卡洛标准错误两个因素的IRT模型.实际样本大小是有效的.

更多相关视频

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.1K
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.3K

相关实验视频

Last Updated: Jun 11, 2025

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

6.9K
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.1K
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.3K

科学领域:

  • 计算统计学 计算统计学
  • 心理测量 心理测量 心理测量
  • 教育测量教育的测量

背景情况:

  • 贝叶斯分析经常使用马尔科夫链蒙特卡洛 (MCMC) 算法进行后端分布采样.
  • 准确的融合诊断对于可靠的MCMC结果至关重要,特别是在复杂的潜变量模型中.

研究的目的:

  • 在潜在变量模型中比较各种MCMC停止规则的性能.
  • 为确定最佳的MCMC算法终结点提供实用指南.
  • 在DINA和双因素物品响应理论模型的背景下评估停止规则.

主要方法:

  • 进行模拟研究以评估四个MCMC停止规则:潜在缩小因子 (PSRF),固定宽度停止规则,Geweke的诊断和有效样本大小.
  • 绩效是根据特定的潜变量模型中的项目和人参数准确度来评估的.

主要成果:

  • 与多链方法相比,单链MCMC方法显示出更高的项目参数准确性.
  • 停止规则对人参数估计的影响不那么明显,而不是对项目参数的影响.
  • 过度依赖单变量PSRF可能会导致过早的算法终止和偏差的项目参数估计.

结论:

  • 实践人员在使用单变量PSRF时应谨慎使用,仔细选择切断值以避免偏差.
  • 该研究为选择适当的MCMC停止规则提供了指导,以提高潜变量建模的精度.
  • 了解停止规则的表现对于教育和心理测量的可靠结果至关重要.