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

Stratified Sampling Method01:16

Stratified Sampling Method

12.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
12.1K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

44
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...
44
Multiple Regression01:25

Multiple Regression

3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

57
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...
57
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

207
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...
207
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

527
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...
527

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

Resource use and economic burden of respiratory syncytial virus among older adults in real-world clinical practice across five European countries.

Frontiers in public health·2026
Same author

Cross-Sectional Survey of Real-World Physician Prescribing Practices for Anti-VEGF Agents in the Treatment of Neovascular Age-Related Macular Degeneration and Associated Patient Burden in the United States.

Clinical ophthalmology (Auckland, N.Z.)·2026
Same author

Cilta-cel in lenalidomide-refractory multiple myeloma (CARTITUDE-4): an updated analysis including overall survival from an open-label, multicentre, randomised, phase 3 trial.

The Lancet. Oncology·2026
Same author

Evaluation of Kidney Failure Risk Equation score for vascular access planning in an Australian cohort.

Internal medicine journal·2025
Same author

Clinical experience with cranial nerve palsy in patients infused with ciltacabtagene autoleucel for the treatment of relapsed/refractory MM in CARTITUDE-1, -2, and -4.

Blood cancer journal·2025
Same author

Postprandial metabolic effects of milk and yoghurt in young and older adults.

Genes & nutrition·2025

相关实验视频

Updated: Jul 11, 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

3.4K

嵌入式多层回归和后分层化:基于模型的推断与不完整的辅助信息.

Katherine Li1, Yajuan Si2

  • 1Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.

Statistics in medicine
|November 15, 2023
PubMed
概括

嵌入式多层次回归和后分层 (EMRP) 通过生成合成人群来更准确地估计小子组,从而改善健康差异研究. 这种方法纠正了偏见,并减少了弱势群体的不确定性.

关键词:
贝叶斯式启动方式 (Bayesian bootstrap)不完整的后层化器.顺序的归算是一个顺序的归算.合成种群的人口.

更多相关视频

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

6.4K
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

相关实验视频

Last Updated: Jul 11, 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

3.4K
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

6.4K
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

科学领域:

  • 统计 统计 统计 统计
  • 公共卫生 公共卫生
  • 健康差距 研究 研究 研究 研究

背景情况:

  • 健康差异研究经常评估人口统计学子组的健康结果.
  • 多级回归和后分层化 (MRP) 是用于小子组估计,估计稳定和调整选择偏差的常用方法.
  • 由于辅助变量的联合分布的可用性,MRP的有效性受到限制,因为分析师通常只有边际分布.

研究的目的:

  • 引入嵌入式MRP (EMRP),这是一种新的方法,将人口细胞计数的估计用于分层化后直接集成到MRP工作流中.
  • 为了提高健康结果估计的准确性和细节性,为小的人口分组.
  • 通过生成辅助变量的合成群体来解决经典MRP的局限性.

主要方法:

  • 在实施MRP之前,EMRP生成辅助变量的合成群体,在工作流中嵌入细胞计数估计.
  • 采用完全贝叶斯的框架来传播所有估计不确定性的来源.
  • 模拟研究比较合成人口生成方法,评估EMRP的性能与偏差差异权衡的替代方案相比.

主要成果:

  • EMRP估计器纠正了经典MRP中存在的偏差.
  • 与加权有限人口贝叶斯启动 (WFPBB) 和基于设计的估计相比,EMRP方法的标准误差较低,信心区间较窄.
  • 所有EMRP估计器都表现出可比的性能,WFPBB-MRP因其高覆盖率而被推.

结论:

  • 在健康差异研究中,EMRP为有效的亚群推断提供了一个强大的框架.
  • 该方法通过解决辅助变量分布数据的局限性,改进了经典的MRP.
  • 欧洲粮食安全计划 (EMRP) 提供了对脆弱人群健康结果的更准确,更可靠的估计,正如粮食不安全患病率研究所证明的那样.