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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

174
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
174
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

683
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
683
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

789
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
789
Clinical Trials01:16

Clinical Trials

8.4K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
8.4K
Hazard Ratio01:12

Hazard Ratio

247
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
247
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

419
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...
419

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

Inconsistent ethics reporting in individual participant data meta-analyses: a call for updating PRISMA and PRISMA-IPD.

BMC medicine·2026
Same author

Evaluating the quality of tabular synthetic data in health care.

PLOS digital health·2026
Same author

Using an Open Science Checklist in Grant Proposal Reviews to Predict Reproducibility of Funded Publications.

Journal of clinical epidemiology·2026
Same author

Selecting medical research data platforms for translational biomedical research: a five-tier overview and requirement-weighted assessment framework.

Frontiers in digital health·2026
Same author

A Molecular "Thermometer" for Measuring Effective Non-Local Exchange.

Journal of computational chemistry·2026
Same author

Using routinely collected data for research purposes: challenges and mitigation strategies.

BMJ (Clinical research ed.)·2026

相关实验视频

Updated: Sep 12, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

临床流行病学的关键概念:生物医学研究数据的 FAIRification.

Ka Hin Tai1, Marcel Müller2, Ulrich Mansmann2

  • 1Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000, Rennes, France.

Journal of clinical epidemiology
|August 7, 2025
PubMed
概括

本研究引入了一个三维的FAIRification框架,以应对生物医学数据共享的挑战. 它强调主动规划和技术/法律支持,以加强数据管理和重复使用.

关键词:
生物医学研究的研究.数据共享数据的共享.公平原则 公平原则的元数据标准.开放科学是一个开放的科学.负责任的研究 负责任的研究

更多相关视频

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.6K
Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

4.6K

相关实验视频

Last Updated: Sep 12, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.6K
Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

4.6K

科学领域:

  • 生物医学研究的研究.
  • 数据管理和监管数据的管理和管理.

背景情况:

  • 伦理,法律和技术障碍阻碍了生物医学研究数据的共享.
  • 可查找,可访问,可互操作和可重复使用 (FAIR) 原则旨在改善数据管理.

研究的目的:

  • 为科学,技术和法律/道德层面提出一个全面的 FAIRification 框架.
  • 引导研究人员克服生物医学数据共享和促进数据重用方面的挑战.

主要方法:

  • 倡导未来的 FAIRification,重点是早期规划数据共享.
  • 利用反思性问题指导研究人员评估资源,可行性和利益相关者的需求.
  • 详细的技术准备,包括文档,元数据和存储库托管.

主要成果:

  • 为公平化提出了一个框架,涵盖科学,技术和法律/道德方面的问题.
  • 强调积极的规划,文档和安全的存储库使用,以有效地共享数据.
  • 强调持续支持和维护持续数据再利用的重要性.

结论:

  • 实施积极主动的,多维的 FAIRification 战略对于克服生物医学数据共享障碍至关重要.
  • 精心规划,技术准备和行政监督对于确保数据保密性,安全性和可重复使用性至关重要.
  • 持续的研究人员支持和数据维护对于最大限度地提高共享生物医学数据的价值至关重要.