开发一个概念框架来定义试验效率的定义
Charis Xuan Xie1, Anna De Simoni1, Sandra Eldridge1
1Wolfson Institute of Population Health, Queen Mary University of London, London, England, United Kingdom.
PloS one
|May 23, 2024
概括
本研究通过确定四个构造来定义试验效率:科学,操作,统计和经济. 它还概述了有效试验的五个构建块,包括设计,流程,基础设施,超级结构和利益相关者.
科学领域:
- 临床试验方法论 临床试验方法论
- 医疗服务研究 医疗服务研究
背景情况:
- 全球越来越重视高效的临床试验.
- 在理解试验效率方面存在显著的异质性.
- 需要一个全面的概念框架来定义试验效率.
研究的目的:
- 收集关于试验效率的不同观点.
- 建立基于共识的概念框架来定义试验效率.
主要方法:
- 对78项研究的文献审查,以确定与试验效率相关的术语.
- 修改了49名国际专家 (试验人员,资助者,赞助商,编辑,公众) 的e-Delphi研究.
- 根据UCLA/RAND对百分点间范围的方法定义的共识.
主要成果:
- 确定了9个定义试验效率的术语.
- 在四个构造上达成共识:科学,运营,统计和经济效率.
- 在五个构建块上达成共识:试验设计,流程,基础设施,超级结构和利益相关者.
结论:
- 第一次尝试将试验效率剖析成理论构造.
- 达成一致的定义将改善试验实施,沟通和决策.
- 确定了有效试验的基本构建块,为未来的评估框架铺平了道路.
相关概念视频
Trial and Error and Algorithm
109
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
109
Study Design in Statistics
8.0K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.0K
Column Efficiency: Rate Theory
315
The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
315
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
125
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,...
125
Production Efficiency
16.8K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
16.8K
Accuracy and Errors in Hypothesis Testing
196
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
196


