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

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

2.3K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
2.3K
Random and Systematic Errors01:20

Random and Systematic Errors

12.5K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
12.5K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

965
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
965
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

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

Characterization of Immune Infiltrating Cells in Bladder Urothelial Carcinoma and Its Clinical Significance.

Cancer medicine·2026
Same author

Assessing data extraction in randomized clinical trials with large language models.

BMC medical research methodology·2026
Same author

Diagnostic performance of advanced large language models in cystoscopy: evidence from a retrospective study and clinical cases.

BMC urology·2025
Same author

UHRF1 promotes epithelial-mesenchymal transition mediating renal fibrosis by activating the TGF-β/SMAD signaling pathway.

Scientific reports·2025
Same author

RRM2 Is a Putative Biomarker and Promotes Bladder Cancer Progression via PI3K/AKT/mTOR Pathway.

Journal of cellular physiology·2024
Same author

Lactobacillus-Polydopamine System for Targeted Drug Delivery in Overactive Bladder: Evidence from Bladder Cell Spheroids, Rat Models, and Urinary Microbiome Profiling.

International journal of nanomedicine·2024

相关实验视频

Updated: Sep 10, 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

数据提取错误及其对泌尿病学系统审查的影响:一个协议

Zuhaer Yisha1,2, Linfa Guo3, Aodun Gu3

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

International journal of surgery protocols
|August 27, 2025
PubMed
概括

泌尿系统审查中的数据提取错误威胁着基于证据的医疗保健. 本研究评估了这些审查中的数据可重复性,强调需要在证据综合中严格审查以确保可靠的结果.

关键词:
数据提取错误证据综合实践可复制性尿道学

更多相关视频

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
05:49

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking

Published on: October 10, 2019

6.7K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

32.0K

相关实验视频

Last Updated: Sep 10, 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
Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
05:49

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking

Published on: October 10, 2019

6.7K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

32.0K

科学领域:

  • 尿道病学
  • 医疗信息学
  • 基于证据的医学

背景情况:

  • 系统审查对于医疗保健决策至关重要.
  • 泌尿系统检查中的数据提取错误是一个重要的,经常被忽视的威胁.
  • 有越来越多的泌尿检查缺乏严格的检查.

研究的目的:

  • 在泌尿系统检查中调查数据可重复性问题.
  • 突出在证据综合中对审查的关键需求.
  • 加强泌尿学证据综合的方法严谨性和结论的有效性.

主要方法:

  • 从58个泌尿病学期刊 (PubMed,Embase) 中检查了数据提取错误.
  • 随机对照试验的综合分析.
  • 由两个独立的审核员进行数据提取,与原始来源进行交叉验证;错误被分类到多个级别.
  • 统计分析评估了错误的普遍性和对元分析结果的影响;敏感性分析探讨了缺失数据的影响.

主要成果:

  • 评估了数据提取错误的发生率和对元分析结果的影响.
  • 进行了敏感性分析,以探讨缺少数据对研究结果的影响.

结论:

  • 解决尿道学系统审查中数据提取错误的关键问题.
  • 提高方法严谨性,提高结论在证据综合的有效性.
  • 提供有关系统审查质量的宝贵见解,并指导基于证据的实践的未来改进.