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相关概念视频

Quality Assurance01:19

Quality Assurance

3.7K
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
3.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

515
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,...
515
Quality Control01:05

Quality Control

4.1K
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
4.1K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

314
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
314

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相关实验视频

Updated: Mar 11, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

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微模拟模型的质量评估报告检查清单:一个范围审查协议.

Claire de Oliveira1,2,3,4,5

  • 1Institute for Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

PloS one
|March 9, 2026
PubMed
概括

需要正式的报告清单来评估微模拟模型. 这一范围审查将综合现有关于质量评估的文献和这些重要经济模型的最佳实践.

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An R-Based Landscape Validation of a Competing Risk Model
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Watershed Planning within a Quantitative Scenario Analysis Framework

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相关实验视频

Last Updated: Mar 11, 2026

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科学领域:

  • 计算社会科学 计算社会科学
  • 经济建模经济建模
  • 政策分析 政策分析

背景情况:

  • 微型模拟模型对于理解经济代理人的行为和为政府政策决策提供信息至关重要.
  • 确保这些模型的质量和有用性对于可靠的见解至关重要.
  • 目前,没有正式的报告检查清单来评估微模拟模型的质量.

研究的目的:

  • 进行范围审查,以确定和综合现有的关于微模模型质量评估检查清单的文献.
  • 收集关于最佳实践,指导方针和建议的信息,以开发可靠的微模拟模型.
  • 解决微模拟模型缺乏正式的质量评估工具的问题.

主要方法:

  • 该研究将采用一个范围审查方法,遵循PRISMA范围审查指南.
  • 将在多个数据库 (MEDLINE,Embase,EconLit,Web of Science) 进行全面的文献搜索,并补充有针对性的网络和期刊搜索.
  • 数据提取将侧重于质量维度,随后进行叙述综合总结建议.

主要成果:

  • 初步评估表明,缺乏评估微模拟模型质量的正式检查清单.
  • 之前没有任何范围审查专门讨论过这个话题.
  • 审查将确定和综合任何现有的建议,以开发高质量的微模拟模型.

结论:

  • 关于微模拟模型的正式质量评估工具的文献存在重大差距.
  • 这项工作将巩固现有的关于开发强大的微显模拟模型最佳实践的知识.
  • 预计将开发一个经过验证的质量评估报告检查清单作为一个关键的结果,填补了该领域的关键需求.