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関連する概念動画

Censoring Survival Data01:09

Censoring Survival Data

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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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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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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Statistical Methods for Analyzing Epidemiological Data01:25

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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より良いデータ,銃による暴力の減少

Andrew R Morral1, Rosanna Smart2

  • 1Andrew R. Morral is a senior behavioral scientist, director of the National Collaborative on Gun Violence Research, and director of the RAND Gun Policy in America Initiative at the RAND Corporation, Washington, DC, USA.

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まとめ
この要約は機械生成です。

何十年もの資金不足の後,銃器の暴力防止の研究は,民間と公共のソースからの資金の大幅な増加を経験しています. 銃による暴力の規模を 改善することを目的としています

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科学分野:

  • 公衆衛生
  • 犯罪学
  • 健康政策

背景:

  • 25年間 銃による暴力防止研究に 限られた連邦資金が使われました
  • 献身的な努力にもかかわらず 銃による暴力の公衆衛生問題に 匹敵する研究規模はありませんでした
  • 近年,この研究分野への投資は大幅に増加しています.

研究 の 目的:

  • 銃による暴力防止の研究の 資金不足を強調するためです
  • 研究費の急増を記録する
  • 銃による暴力に対する 根拠に基づいた解決策の必要性を 認識するよう促すためです

主な方法:

  • 銃器の暴力防止研究における過去の資金提供動向の分析
  • 公的・私的機関からの最近の資金提供イニシアチブの特定と定量化.
  • 銃による暴力による公衆衛生上の負担と関連した投資の規模の見直し

主要な成果:

  • 銃による暴力を防止する研究に 25年間 政府の資金はほとんどなかったのです
  • 2018年以来の研究資金の大幅な増加で 銃による暴力研究に関する国家協力団体の2千1百万ドルを超えました
  • 2019年以降の連邦政府の年間投資額は2500万ドルで,州や慈善事業による投資が追加されています.

結論:

  • 銃器による暴力防止の研究分野は 前例のない財政支援の拡大を遂げています
  • 科学的な理解を深め,効果的な予防戦略を開発するために,この投資の増加は極めて重要です.
  • 民間慈善団体や 連邦政府機関や州政府の 協力的な取り組みは 銃による暴力を研究を通じて 解決する新たなコミットメントを示しています