干预下的预测:使用纵向观测数据对反事实性能的评估
Ruth H Keogh1, Nan Van Geloven2
1From the Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Epidemiology (Cambridge, Mass.)
|April 17, 2024
概括
在干预措施下评估预测是观察数据的挑战. 本研究介绍了评估时间到事件结果的反事实性表现的方法,以帮助医疗决策.
科学领域:
- 生物统计学 生物统计学
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 评估医疗决策的预测模型至关重要.
- 标准的绩效评估方法对于干预过程中的观察数据是不够的.
- 干预措施下的预测估计了如果遵循特定治疗策略的结果.
研究的目的:
- 开发和评估方法来评估在干预期间预测的反事实性表现,以获得时间到事件的结果.
- 通过纵向观测数据调整标准绩效指标,用于反事实评估.
- 通过量化假设治疗策略下的预测性能来支持知情的医疗决策.
主要方法:
- 利用人工审查和反向概率权重来创建模仿干预策略的验证数据集.
- 扩展已建立的绩效指标,包括校准,歧视 (c指数,累积/动态AUCt) 和Brier评分.
- 采用模拟研究来验证拟议的方法,并评估它们检测性能差的能力.
主要成果:
- 提出的方法成功地评估了干预措施下的时间到事件预测的反事实性能.
- 扩展指标在评估校准,歧视和整体预测错误方面表现出有效性.
- 该方法成功地应用于肝移植数据,量化器官分配决策的预测性能.
结论:
- 这项工作为使用观测数据评估反事实预测性能提供了一个强大的框架.
- 开发的方法提高了医疗决策中使用的预测的可靠性,特别是对于时间到事件的结果.
- 在干预中量化预测性能对于关键应用,如器官分配至关重要.
更多相关视频
07:01Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
Published on: September 20, 2020
4.7K
07:20Author Spotlight: Repetitive Transcranial Magnetic Stimulation Combined with Movement Observation in Cerebral Palsy
Published on: August 9, 2024
1.1K
相关概念视频
Longitudinal Research
12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Longitudinal Studies
157
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
157
Observational Studies
8.5K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.5K
Naturalistic Observations
15.4K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.4K
Data Collection by Observations
12.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.0K
Crossover Experiments
2.8K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
2.8K
