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

The Representativeness Heuristic02:13

The Representativeness Heuristic

16.2K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.2K
Causality in Epidemiology01:21

Causality in Epidemiology

912
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...
912
Group Design02:01

Group Design

9.7K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.7K
Convenience Sampling Method00:55

Convenience Sampling Method

9.7K
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. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
9.7K
Random Sampling Method01:09

Random Sampling Method

12.5K
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. Data are the result of sampling from a 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. Among the various sampling methods used by...
12.5K
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

676
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:
676

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

Causal Conditionals, Tendency Causal Claims and Statistical Relevance.

Review of philosophy and psychology·2025
Same author

Epistemic Functions of Replicability in Experimental Sciences: Defending the Orthodox View.

Foundations of science·2024
Same author

Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review.

Computational economics·2023
Same author

New Insights in Computational Methods for Pharmacovigilance: <i>E-Synthesis</i>, a Bayesian Framework for Causal Assessment.

International journal of environmental research and public health·2019

相关实验视频

Updated: Sep 18, 2025

An Unbiased Approach of Sampling TEM Sections in Neuroscience
10:56

An Unbiased Approach of Sampling TEM Sections in Neuroscience

Published on: April 13, 2019

7.3K

在因果关系方面重新定义样本的代表性.

Michał Sikorski1, Alexander Gebharter1, Barbara Osimani1

  • 1Center for Philosophy, Science, and Policy, Marche Polytechnic University, Ancona, Italy.

Journal of evaluation in clinical practice
|June 23, 2025
PubMed
概括

这项研究确切地为医学科学定义了样本代表性. 新的概念化为研究人员提供了实际指导,以提高研究的有效性和通用性.

科学领域:

  • 医学科学 医学科学 医学科学
  • 研究方法研究方法研究方法学
  • 统计推理 统计推理

背景情况:

  • 样本代表性是医学研究方法学的一个关键但仍有争议的方面.
  • 目前正在进行的讨论质疑代表性样本的定义,成就和价值.

研究的目的:

  • 发展对样本代表性的正式,精确和实际概念化.
  • 解决科学研究中关于样本代表性的模糊性和争议.

主要方法:

  • 利用因果贝叶斯网络的框架.
  • 制定了对样本代表性的正式定义.

主要成果:

  • 提出了对样本代表性的准确正式定义.
  • 提供从定义中得出的可操作的方法指南.
  • 包括说明性示例和实用的应用检查清单.

结论:

  • 拟议的定义旨在加强关于样本代表性的讨论.
  • 这种概念化预计将成为科学家在实践中的一个有价值的工具.
  • 有助于更清楚地理解和应用研究设计中的代表性.

更多相关视频

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.3K
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.5K

相关实验视频

Last Updated: Sep 18, 2025

An Unbiased Approach of Sampling TEM Sections in Neuroscience
10:56

An Unbiased Approach of Sampling TEM Sections in Neuroscience

Published on: April 13, 2019

7.3K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.3K
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.5K