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相关概念视频

Substance Use Disorders Affecting Sleep01:24

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Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
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Drug Dependence01:17

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Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
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Blind Procedures02:07

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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
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相关实验视频

Updated: Jul 20, 2025

A Protocol for Measuring Cue Reactivity in a Rat Model of Cocaine Use Disorder
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在物质使用障碍试验中处理缺失二进制数据的方法.

Boyu Ren1, Stuart R Lipsitz2, Roger D Weiss3

  • 1Laboratory for Psychiatric Biostatistics, McLean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.

Drug and alcohol dependence
|August 6, 2023
PubMed
概括
此摘要是机器生成的。

在物质使用障碍 (SUD) 试验中缺少数据是常见和复杂的. 本研究回顾了处理非单调缺失数据的方法,为SUD研究中更有原则的分析和报告提出了建议.

关键词:
放弃 放弃 放弃 放弃随机失踪的人是随机失踪的人.缺少的数据数据.失踪不是随机发生的.没有单调的缺失.灵敏度分析是一种灵敏度分析.

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科学领域:

  • 临床试验 临床试验
  • 生物统计学 生物统计学
  • 药物使用障碍研究 药物使用障碍研究

背景情况:

  • 纵向性物质使用障碍 (SUD) 临床试验经常遇到高缺失数据率.
  • 非单调的缺失数据模式,参与者间歇跳过评估,是常见的和具有挑战性的.
  • 缺失的数据往往是不随机缺失的 (MNAR),特别是当结果是物质使用时.

研究的目的:

  • 审查SUD试验中处理非单调缺失数据的传统和新方法.
  • 为了比较和对比这些方法,使用来自现实世界的临床试验的数据.
  • 为SUD研究界提供关于原则性缺失数据处理的建议.

主要方法:

  • 对纵向研究中缺少数据的统计方法的审查.
  • 在SUD试验中对二元结果的方法的应用和比较.
  • 对协作可卡因治疗研究数据的分析.

主要成果:

  • 对于单调缺失数据的传统方法对于非单调模式是不够的.
  • 新的方法为处理间歇性失踪提供了更强大的方法.
  • 该研究强调了基于所选择的缺失数据方法的结果差异.

结论:

  • 处理非单调缺失数据的原则方法对于准确的SUD试验结果至关重要.
  • 提供了改善SUD研究中缺少数据的分析和报告的建议.
  • 采用先进的方法可以提高药物使用障碍临床试验结果的可靠性.