相关实验视频
Updated: Jul 16, 2025

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.1K
在案例控制研究中,理解和报告几率比率作为几率比率估计
Steven Kerr1, Sander Greenland2, Karen Jeffrey1
1Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland, UK.
Journal of global health
|September 15, 2023
概括
在案例对照研究中,样本概率比率 (ORs) 不总是对人口率比率的一致估计. 研究人员必须批判性地评估条件,确保ORs准确地表示速率比率.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 在健康科学文献中,关于在病例控制研究中将样本概率比率 (ORs) 报告为估计率比率存在混.
- 历史文献提供了关于样本ORs何时始终估计人口率比率的明确答案.
研究的目的:
- 为了澄清在哪些条件下,从病例控制研究中得到的样本概率比率 (ORs) 是对人口率比率的一致估计.
- 为了说明样本ORs和人口率比率之间的差异,当这些条件不满足时.
主要方法:
- 关于ORs作为利率比率估计器的一致性的历史文献的审查.
- 使用数值示例来证明样本OR和人口率比率之间的差异大小.
- 分析所需的条件,使OR成为一致的估计者,包括采样策略和危险比率常数.
主要成果:
- 从那些处于风险中的样本取样控制对 ORs来说不足以一致估计速率比率.
- 如果采样时间不受控制,随着时间的推移暴露患病率和危险比率 (HR) 的恒定性就足够了;如果时间受到控制,HR的恒定性就足够了.
- 如果未能满足这些条件,就会导致极端地区在估计人口比例时出现系统性错误.
结论:
- 研究人员必须理解并批判性地评估解释病例控制研究中的估计值作为一致的人口参数的条件.
- 准确的OR解释需要仔细考虑研究设计和统计假设.
相关概念视频
Odds Ratio
161
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
161
Relative Risk
208
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
208
Hazard Ratio
154
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
154
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
147
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,...
147
Hazard Rate
134
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
134
Statistical Methods for Analyzing Epidemiological Data
403
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:
403

