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

Causality in Epidemiology01:21

Causality in Epidemiology

1.7K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.7K
Position-effect Variegation02:32

Position-effect Variegation

7.1K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
7.1K
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

1.3K
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
1.3K
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

1.2K
The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
1.2K
What is Natural Selection?01:32

What is Natural Selection?

129.8K
Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
129.8K
Serial Position Effect01:03

Serial Position Effect

563
The serial position effect is a cognitive phenomenon where individuals are more likely to recall the first and last items in a list compared to those in the middle. This effect is divided into the primacy effect and the recency effect. The primacy effect is observed when the initial items in a list are remembered better. This occurs because these items are rehearsed more frequently or receive more elaborative processing, allowing them to be encoded into long-term memory more effectively. For...
563

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

Structural Cardiac Abnormalities, Ventricular Dysfunction Phenotypes, and Heart Failure Risk among Antiretroviral Therapy-treated People Living with HIV in South Africa.

medRxiv : the preprint server for health sciences·2026
Same authorSame journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same author

Associations of urinary incontinence, absorbent product use, and confidence gained from absorbent product use with perceived ageism in later adulthood.

The Gerontologist·2026
Same author

Long-Term Glycemic Control and Pharmacotherapy in Type 2 Diabetes Mellitus: A Descriptive Analysis of 10-Year Trends in a Statewide Sample.

Journal of diabetes research·2026
Same author

Mortality Following Atypical Femoral Fractures in Men.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research·2026
Same author

The Effect of COVID-19 on Incident Diabetes in Pediatric Patients: Findings From the National COVID-19 Cohort Collaborative (N3C).

Pediatric diabetes·2025

相关实验视频

Updated: Feb 12, 2026

Examination of Thymic Positive and Negative Selection by Flow Cytometry
14:29

Examination of Thymic Positive and Negative Selection by Flow Cytometry

Published on: October 8, 2012

22.7K

一个因果估计和选择的框架在阳性违规的情况下.

Martha Barnard1, Jared D Huling1, Julian Wolfson1

  • 1Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.

Biometrics
|February 11, 2026
PubMed
概括
此摘要是机器生成的。

根据观测数据估计因果关系是很困难的,因为共变异不平衡和有限的重叠. 本研究引入了一个框架,以平衡统计偏见和目标人口选择,以进行准确的卫生政策分析.

关键词:
平均治疗效果 平均治疗效果有关因果推理的推理.相反的概率权衡.倾向性得分是指倾向性得分.目标人口的目标人口.

更多相关视频

Transcranial Magnetic Stimulation for Investigating Causal Brain-behavioral Relationships and their Time Course
11:33

Transcranial Magnetic Stimulation for Investigating Causal Brain-behavioral Relationships and their Time Course

Published on: July 18, 2014

44.1K
Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

8.5K

相关实验视频

Last Updated: Feb 12, 2026

Examination of Thymic Positive and Negative Selection by Flow Cytometry
14:29

Examination of Thymic Positive and Negative Selection by Flow Cytometry

Published on: October 8, 2012

22.7K
Transcranial Magnetic Stimulation for Investigating Causal Brain-behavioral Relationships and their Time Course
11:33

Transcranial Magnetic Stimulation for Investigating Causal Brain-behavioral Relationships and their Time Course

Published on: July 18, 2014

44.1K
Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

8.5K

科学领域:

  • 观察性研究是指观察性研究.
  • 因果推理的原因推理.
  • 卫生政策分析 卫生政策分析

背景情况:

  • 使用观测数据估计因果关系存在挑战,原因是共变量分布失衡和治疗组和对照组之间缺乏重叠.
  • 现有的方法,如反向概率权重 (IPW) 和重叠权重 (OW),涉及统计偏差和差异之间的权衡,并针对不同的群体.

研究的目的:

  • 提出一个框架,用于从观测数据中估计因果效应的偏差和差异之间的权衡.
  • 根据研究偏好引入偏差分解和用于选择适当估计的指标.
  • 帮助研究人员平衡原始研究群体的保存与减少统计偏差.

主要方法:

  • 开发了一个偏差分解框架,以区分统计偏差和估计和不匹配.
  • 提出了两个基于设计的指标来量化权衡.
  • 引入了一个包含特定领域偏好的估计和选择程序.

主要成果:

  • 拟议的框架和程序有效地说明了偏差和差异之间的权衡.
  • 该方法允许基于对人口保存或偏差减少的偏好进行知情选择.
  • 使用右心脏导管数据演示了框架的应用.

结论:

  • 该框架提供了一个结构化的方法来解决因果推理方面的挑战,使用观测数据,特别是关于有限的重叠和共同变量失衡.
  • 研究人员可以利用拟议的指标和选择程序来做出关于估计和准的明智决定,以优化他们特定的研究目标.
  • 这项工作提高了从观察性健康研究中得出的因果效应估计的可靠性和可解释性.