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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

54
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...
54
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

41
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...
41
Typical Model Studies01:30

Typical Model Studies

359
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
359

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

Tree-based exploratory identification of predictive biomarkers in non-randomized data.

BMC medical research methodology·2026
Same author

Letermovir does not affect long-term polyclonal immune reconstitution after allogeneic hematopoietic stem cell transplantation with ATG-based GvHD prophylaxis.

Frontiers in immunology·2026
Same author

Erratum: Peripheral Measurable Residual Disease Activity Assessment by MALDI-TOF Mass Spectrometry in Patients With Newly Diagnosed Multiple Myeloma in the Phase III GMMG-HD7 Trial.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2026
Same author

MRI Quality and Reader Experience in Organized Prostate Cancer Screening: Insights from the PROBASE Trial.

European urology oncology·2026
Same author

Peripheral Measurable Residual Disease Activity Assessment by MALDI-TOF Mass Spectrometry in Patients With Newly Diagnosed Multiple Myeloma in the Phase III GMMG-HD7 Trial.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2026
Same author

Perioperative factors influencing immediate and long-term continence after robot-assisted radical prostatectomy.

BJUI compass·2026
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
Same journal

Beyond Fixed Thresholds: Optimizing Summaries of Wearable Device Data via Piecewise Linearization of Quantile Functions.

Statistics in medicine·2026
Same journal

A Causal Framework for Evaluating the Total Effect of Strategies Aiming to Expand Screening and to Improve Outcomes.

Statistics in medicine·2026
Same journal

Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance.

Statistics in medicine·2026
查看所有相关文章

相关实验视频

Updated: Jul 3, 2025

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.2K

统计等离子模拟 - - 潜力,挑战和建议

Nicholas Schreck1, Alla Slynko2, Maral Saadati1

  • 1Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Statistics in medicine
|February 15, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了统计等离子模拟以生成现实的数据. 它提供了创建和报告等离子模数据的指导方针,这对于开发和评估统计模型至关重要.

关键词:
数据生成过程数据生成过程产生结果的模型.用参数模拟进行参数模拟.在重新抽样时进行重新抽样.统计等离子体模型

更多相关视频

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.8K
Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
07:41

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

9.9K

相关实验视频

Last Updated: Jul 3, 2025

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.2K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.8K
Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
07:41

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

9.9K

科学领域:

  • 统计 统计 统计 统计
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 统计数据模拟对于开发和评估统计模型和方法至关重要.
  • 参数和等离子模拟是常见的方法,但等离子模拟为复杂的高维数据提供了更大的现实性.
  • 现有的文献缺乏执行等离子模式数据模拟的明确指导方针.

研究的目的:

  • 审查和引入统计等离子体模拟的概念.
  • 讨论与统计等离子体相关的优势和挑战.
  • 为生成等离子模态数据模拟提供一个逐步程序.

主要方法:

  • 对现有模拟方法的文献综述.
  • 关于等离子模拟的概念介绍和讨论.
  • 使用真实RNA测序数据,开发并说明用于生成等离子体的逐步程序.

主要成果:

  • 等离子模拟为统计建模的数据生成提供了一个现实的方法.
  • 已经建立了一个全面的,逐步的流程,用于等离子模式数据的生成,实施和报告.
  • 提出的方法成功地使用来自乳腺癌患者的公共RNA数据集来说明.

结论:

  • 统计等离子模拟是生成现实数据的有价值的技术.
  • 提供的逐步程序为研究人员在实施等离子模拟时提供了实际指导.
  • 这项工作解决了在等离子模式数据生成中对标准化方法的需求,以改善统计模型的开发和评估.