控制家庭错误率和错误发现率在研究麻醉中日志正常持续时间的预测因素时:使用通用线性建模的模拟研究
Pei-Fu Chen1, Franklin Dexter1
1Department of Anesthesia, University of Iowa, Iowa City, IA, USA.
British journal of anaesthesia
|December 3, 2025
概括
邦费罗尼调整可靠地控制了麻醉学研究中的家族错误率 (FWER). 对于错误发现率 (FDR) 控制的Benjamini-Yekutieli程序在正相关预测器中是不可靠的.
科学领域:
- 麻醉学的统计数据
- 统计建模 统计建模
- 多重比较 多重比较
背景情况:
- 通用线性模型 (GLMs) 在麻醉学中很常见,用于分析像手术时间这样的日志-正常分布的结果.
- 多重比较程序在这些模型中防止统计错误的性能尚未得到充分理解.
研究的目的:
- 为了评估常见的家庭错误率 (FWER) 和错误发现率 (FDR) 控制方法在GLM中对日志正常结果的有效性.
- 评估预测变量相关性如何影响这些统计程序的性能.
主要方法:
- 蒙特卡洛模拟用于评估FWER和FDR控制方法.
- 模拟数据集具有日志正常结果和相关的二进制预测器.
- 四个FWER程序 (Bonferroni,Šidák,Holm-Bonferroni,Hochberg) 和两个FDR程序 (Benjamini-Hochberg,Benjamini-Yekutieli) 已被应用. 这两种程序都在使用中.
主要成果:
- 未经调整的分析结果显示高FWER (12.6-14.8%).
- 在所有相关情景中,邦费罗尼调整显示了精确的FWER控制 (5.2-5.3%).
- 在独立/负相关性方面,Benjamini-Yekutieli有效控制了FDR,但在强大的正相关性 (6.0-9.5%) 下失败了.
结论:
- 邦费罗尼调整在GLM中提供可靠的FWER控制,用于麻醉学中的日志正常结果.
- 本杰明-耶库蒂耶利程序适用于FDR控制,但由于潜在的反保守主义,建议谨慎使用正相关的预测因素.
相关概念视频
Comparing the Survival Analysis of Two or More Groups
538
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
538
Mechanistic Models: Compartment Models in Individual and Population Analysis
226
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
226
Censoring Survival Data
505
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...
505
Parametric Survival Analysis: Weibull and Exponential Methods
990
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
990
Regression Toward the Mean
6.8K
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...
6.8K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
382
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,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
382


