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

Crossover Experiments01:16

Crossover Experiments

3.0K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
3.0K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

505
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
505
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

147
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.
147
Study Design in Statistics01:15

Study Design in Statistics

8.5K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.5K
Experimental Designs01:16

Experimental Designs

12.7K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
12.7K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

410
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
410

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

Thermal Fluctuations of Ferroelectric Nanodomains in a Ferroelectric-Dielectric PbTiO_{3}/SrTiO_{3} Superlattice.

Physical review letters·2017
Same author

Purity assessment of ginsenoside Rg1 using quantitative <sup>1</sup>H nuclear magnetic resonance.

Journal of pharmaceutical and biomedical analysis·2017
Same author

Colistin Resistance in <i>Acinetobacter baumannii</i> MDR-ZJ06 Revealed by a Multiomics Approach.

Frontiers in cellular and infection microbiology·2017
Same author

Relationship between clopidogrel-related polymorphisms and variable platelet reactivity at 1 year: A cohort study from Han Chinese.

Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences·2017
Same author

Interface Control of Ferroelectricity in an SrRuO<sub>3</sub> /BaTiO<sub>3</sub> /SrRuO<sub>3</sub> Capacitor and its Critical Thickness.

Advanced materials (Deerfield Beach, Fla.)·2017
Same author

Irradiation pretreatment facilitates the achievement of high total sugars concentration from lignocellulose biomass.

Bioresource technology·2017
Same journal

Network Comparison with Interpretable Contrastive Network Representation Learning.

Journal of data science, statistics, and visualisation·2024
Same journal

INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies.

Journal of data science, statistics, and visualisation·2022
查看所有相关文章

相关实验视频

Updated: Sep 9, 2025

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

4.9K

用CVX为精准医学找到最佳交叉设计的有效方法

Yin Li1, Weng Kee Wong2, Hua Zhou2

  • 1Ontario Medical Association.

Journal of data science, statistics, and visualisation
|September 2, 2025
PubMed
概括
此摘要是机器生成的。

优化交叉设计对于精准医学至关重要. 本研究使用凸优化与CVX包找到有效的交叉设计,包括复杂的N-of-1试验和双目标设计,增强治疗效果估计.

关键词:
没有1的试验凸起式优化双目标最佳设计信息矩阵精准医学重复措施的设计

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K

相关实验视频

Last Updated: Sep 9, 2025

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

4.9K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K

科学领域:

  • 生物统计学
  • 临床试验设计
  • 精准医学

背景情况:

  • 交叉设计在精准医学中越来越重要.
  • 最佳的设计对于高效可靠的临床试验至关重要.

研究的目的:

  • 将最佳交叉设计问题作为凸起式优化问题.
  • 证明CVX套件在寻找最佳交叉车设计方面的有效性.
  • 探索精准医学应用的N-of-1和双目标最佳交叉设计.

主要方法:

  • 将最佳交叉设计问题作为凸起式优化问题的制定.
  • 使用CVX优化包搜索最佳设计.
  • 在N-of-1和双目标交叉设计中应用CVX.
  • 用A最佳性标准说明该方法.

主要成果:

  • 即使没有分析解决方案,CVX套件也能有效地找到最佳交叉设计.
  • CVX可以确定N-of-1试验和双目标交叉设计的最佳设计.
  • 这项研究提供了CVX代码的实际应用.

结论:

  • 使用CVX的凸优化是发现精密医学中最佳交叉设计的强大工具.
  • 这种方法有助于寻找复杂的设计,改善处理和转移效应的估计.
  • 提供的代码可以更广泛地应用这些先进的设计策略.