Related Experiment Video
Updated: May 17, 2026
06:52
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
Published on: September 17, 2019
Multilevel modeling in psychosomatic medicine research
Nicholas D Myers1, Ahnalee M Brincks, Allison J Ames
1Department of Educational and Psychological Studies, University of Miami, Coral Gables, Florida 33124-2040, USA. nmyers@miami.edu
Psychosomatic Medicine
|October 31, 2012
Summary
This study introduces multilevel modeling, a statistical technique valuable for analyzing complex data in psychosomatic medicine research. It covers two-level and three-level models with practical examples and software outputs.
Area of Science:
- Psychosomatic Medicine
- Biostatistics
- Quantitative Psychology
Background:
- Multilevel modeling is increasingly important for analyzing nested or hierarchical data common in health research.
- Understanding these complex data structures is crucial for accurate interpretation of findings in psychosomatic medicine.
Purpose of the Study:
- To provide an accessible overview of multilevel modeling for researchers in psychosomatic medicine.
- To illustrate key concepts and applications of two-level and three-level multilevel models.
- To offer practical guidance on model specification, parameter interpretation, and data handling.
Main Methods:
- Introduction to multilevel modeling principles.
- Illustration using simulated datasets based on the Familias Unidas effectiveness study (two-level model).
- Presentation of a three-level regression model using simulated data from a prostate cancer intervention study.
Main Results:
- Demonstration of how to specify and interpret multilevel models.
- Guidance on assessing sample size, statistical power, and handling missing data.
- Provision of Mplus and SAS input/output files for practical application.
Conclusions:
- Multilevel modeling is a powerful tool for analyzing complex data in psychosomatic medicine.
- The provided examples and resources facilitate the application of these methods.
- Effective use of multilevel modeling enhances the rigor and validity of research findings.
Related Concept Videos
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
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 squares (OLS)...
01:25Models of Health Promotion and Illness Prevention I
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
01:18Models of Health Promotion and Illness Prevention II
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...
The agent-host-environment model states that disease results from...
01:26Levels of Health Promotion and Illness Prevention
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
In primary prevention, actions taken before disease onset prevent the disease from...
01:14Multicompartment Models: Overview
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,...
01:21Mechanistic Models: Overview of Compartment Models
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...