纵向顺序和多态数据的联合建模
Behnaz Alafchi1,2, Leili Tapak1,2, Hossein Mahjub1,3
1Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Statistical methods in medical research
|November 6, 2024
概括
本研究引入了一种用于纵向顺序数据和多状态事件的新型联合模型,解决不可忽视的缺失值. 该模型有效地分析复杂的健康轨迹,改善慢性疾病的生物医学研究.
科学领域:
- 生物统计学 生物统计学
- 纵向数据分析 纵向数据分析
- 生存分析的分析.
背景情况:
- 纵向和生存数据的联合建模在生物医学研究中很常见.
- 现有的模型在多状态过程中与纵向顺序响应和不可忽视的缺失数据作斗争.
研究的目的:
- 引入一个新的联合模型,用于纵向顺序测量和多状态数据.
- 在多状态框架内解决纵向顺序响应中不可忽视的缺失值.
主要方法:
- 开发了两个子模型的联合模型:顺序数据的比例概率和过渡的多态概率.
- 使用共享随机效应的链接子模型.
- 采用最大概率估计,使用零碎常数基线危险函数.
主要成果:
- 拟议的联合模型适用于多态过程中具有不可忽视的缺失值的纵向顺序响应.
- 模拟研究证明了该模型的有效性.
- 该模型已成功应用于人类免疫缺陷病毒 (HIV) 患者数据.
结论:
- 这种新的联合模型为分析复杂的纵向顺序和多态数据提供了一个强大的框架.
- 这种方法提高了对生物医学研究中疾病进展和治疗效果的理解.
- 该模型对于事件依赖缺失的数据集特别有价值.
相关概念视频
Multicompartment Models: Overview
104
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
104
Structural Classification of Joints
3.2K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.2K
Per-Unit Sequence Models
71
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
71
Ordinal Level of Measurement
23.0K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
23.0K
Longitudinal Studies
139
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...
139
Mechanistic Models: Compartment Models in Individual and Population Analysis
29
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...
29


