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相关概念视频

Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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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,...
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Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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Study Design in Statistics01:15

Study Design in Statistics

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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...
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Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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相关实验视频

Updated: Sep 9, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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基于背景的证据:用于提取,重新使用和分发OUD公布数据的试点研究

Alexander Sheppard1, Carly Milliren2, Douglas Schatz3

  • 1University of California, Los Angeles, Los Angeles, California. ORCID: https://orcid.org/0009-0002-6259-6738.

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概括

这项研究引入了一种新的数据组织方法来综合广泛的阿片类药物使用障碍 (OUD) 研究. 这种方法使复杂的OUD信息可用于改善患者护理和研究.

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科学领域:

  • * 医疗信息学
  • * 数据科学
  • * 公共卫生

背景情况:

  • *阿片类药物使用障碍 (OUD) 是一个严重的全球健康挑战,研究文献丰富.
  • 对于大多数人来说,综合大量的OUD研究是很困难的.
  • * 现有的信息检索方法可能无法快速理解OUD数据.

研究的目的:

  • * 试用数据提取和整合方法用于已发表的OUD研究.
  • 为了更好地理解和全球传播,重新利用现有的OUD数据.
  • 开发一个易于获取的阿片类药物使用障碍知识库.

主要方法:

  • * 采用数据树结构来组织752篇精选的PubMed关于OUD的文章.
  • * 文章被选,不包括评论文章,案例报告和小样本系列.
  • *用于数据集成的,是使用具有父子关系的等级注释系统.

主要成果:

  • *四种笔记类型 (主题,人口,数值描述,数值) 已被证明足以用于数据描述.
  • 使用共享母笔记的数据整合使总笔记数量减少了72.9%.
  • *数据树结构允许灵活扩展和缩小信息节点.

结论:

  • * 开发的方法使大数据集的分组变得容易理解.
  • 这一策略可以有效地提取和访问所有已公布的OUD数据.
  • * 预计改善数据可访问性将提高OUD中的患者结果和研究目标.