相关实验视频
Updated: Jul 5, 2025

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.1K
全球COVID-19研究格局:随机临床试验的可视化分析
1Department of Clinical and Community Pharmacy, College of Medicine and Health Sciences, An-Najah National University, Nablus, 44839, Palestine. saedzyoud@yahoo.com.
Clinical and experimental medicine
|January 22, 2024
概括
本文献分析揭示了COVID-19随机对照试验 (RCT) 的全球研究格局. 主要发现突出了主要的贡献国和主要的研究主题,包括疫苗疗效和心理健康战略.
科学领域:
- 公共卫生 公共卫生
- 临床试验 临床试验
- 图书统计学 图书统计学
背景情况:
- 由于COVID-19的流行,需要快速进行科学调查,以了解和管理全球卫生危机.
- 随机对照试验 (RCT) 对于评估干预的有效性和安全性至关重要.
- 需要对COVID-19 RCT研究格局进行全面的概述.
研究的目的:
- 进行对COVID-19随机对照试验 (RCT) 全球研究的文献分析.
- 确定COVID-19 RCT中的关键贡献者,出版趋势和新兴研究领域.
- 为研究人员,政策制定者和资助者提供见解.
主要方法:
- 使用Scopus数据库对2020年至2022年间发表的文章进行图书统计分析.
- 关键词包括"COVID-19"和"随机对照试验" (RCT).
- 分析包括出版量,国家/机构的贡献,资助机构,活跃期刊,引用分析,共发生和未来的研究方向.
主要成果:
- 在223,480个COVID-19出版物中,共确定了3,727个COVID-19 RCT文章.
- 美国,英国,中国和加拿大是COVID-19 RCT研究的领先国家.
- 关键的研究集群包括COVID-19疫苗的安全性/有效性,心理健康,单克隆抗体和系统性审查/元分析.
结论:
- 全球关于COVID-19 RCT的研究以显著的国际合作为特征.
- 主要的研究领域集中在疫苗,心理健康干预和治疗剂,如单克隆抗体.
- 这种分析有助于识别研究缺口,并优先考虑未来对抗疫情的努力.
相关概念视频
Clinical Trials
6.7K
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...
There are four phases in a clinical trial. A phase one...
6.7K
Pareto Chart
6.7K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
6.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
129
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,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
129
Hazard Ratio
128
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...
For example, in a clinical trial...
128
Steps in Outbreak Investigation
131
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
131
Statistical Software for Data Analysis and Clinical Trials
558
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...
558

