对产生不朽时间的偏见的结构描述
Miguel A Hernán1,2, Jonathan A C Sterne3,4,5, Julian P T Higgins3
1From the CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Epidemiology (Cambridge, Mass.)
|November 4, 2024
概括
在生存分析中,不朽时间偏差源于治疗分配后的选择或错误分类,而不是不朽时间本身. 使用纵向数据的目标试验模拟在随访开始时同步了资格和分配,以防止这种偏差.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 临床试验 临床试验
背景情况:
- 由于资格后的信息或分配后的标准,在生存分析中可能会出现不朽时间偏差.
- 这种偏见发生在随访在治疗分配时开始时,但资格或治疗在以后确定时.
研究的目的:
- 在生存分析中解释不朽时间偏差的起源.
- 提出防止不朽时间偏差的方法,特别是通过目标试验模拟.
主要方法:
- 审查防止不朽时间偏差的分析方法.
- 使用纵向数据来模拟从治疗指定的时间开始的目标试验.
- 在随访开始时明确定义资格和治疗分配同步.
主要成果:
- 选择或错误分类,而不是不朽的时间本身,会产生偏见.
- 目标试验模拟通过调整资格和分配,有效地防止不朽的时间.
结论:
- 了解不朽时间偏差 (选择/错误分类) 的来源至关重要.
- 目标试验模拟是一种强大的策略,可以减轻生存分析中的不朽时间偏差.
- 在后续启动时同步资格和分配是准确模拟的关键.
相关概念视频
Hindsight Biases
3.4K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
3.4K
Fundamental Attribution Error
12.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
12.8K
Stereotypes, Prejudice, and Discrimination
90.0K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
90.0K
Bias
3.7K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
3.7K
Bias in Epidemiological Studies
161
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:
161
Confirmation Biases
5.5K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
5.5K


