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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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Review and Preview01:13

Review and Preview

9.0K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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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...
24.2K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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相关实验视频

Updated: Jun 29, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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生成和使用现实世界的数据:值得一战

K Verkerk1, E E Voest2

  • 1Department of Molecular Oncology & Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Oncode Institute, Utrecht, the Netherlands.

Cell
|March 29, 2024
PubMed
概括
此摘要是机器生成的。

精确瘤学需要新的方法. 通过提供可访问的数据集来验证生物标志物和评估药物价值,现实数据 (RWD) 可以解决临床试验中的挑战.

关键词:
癌症学精密瘤学现实世界数据现实世界证据

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Microbial Communities in Nature and Laboratory - Interview
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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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科学领域:

  • 癌症学
  • 生物统计学
  • 医疗信息学

背景情况:

  • 精确瘤学在传统临床试验中面临着关于可行性和数据通用性的挑战.
  • 需要实用的研究方法来测试不同患者小组,并评估现实药物的有效性.
  • 现实世界数据 (RWD) 为生成全面数据集和验证生物标志物提供了一个潜在的解决方案.

研究的目的:

  • 探索利用现实世界数据 (RWD) 以推进精确瘤学的潜力.
  • 突出使用RWD在瘤研究中的好处和挑战.
  • 建议将RWD整合到瘤学试验设计和药物评估中.

主要方法:

  • 本视角回顾了现有文献,并讨论了RWD在瘤学中的确立和潜在应用.
  • 它探讨了阻碍更广泛采用RWD的担忧和局限性,包括数据质量,隐私和偏见.
  • 讨论重点是如何专门构建的RWD存储库可以支持生物标志物的发现和验证.

主要成果:

  • 可以补充传统的临床试验, 允许有条件的补偿和加速药物获取.
  • 药物试验方便创新的试验设计,并支持扩展或完善药物适用性.
  • 专门建立的RWD存储库对于在瘤学中发现和验证新生物标志物至关重要.

结论:

  • 现实世界数据有很大的潜力克服当前瘤研究方法的局限性.
  • 解决有关RWD质量,隐私和偏见的担忧对于其有效实施至关重要.
  • 战略性利用RWD可以显著提升精确瘤学,生物标志物发现和药物评估.