Related Experiment Video
Updated: Sep 1, 2025
07:07
Errors as a Means of Reducing Impulsive Food Choice
Published on: June 5, 2016
8.8K
Current Practices for Accounting for Preference Heterogeneity in Health-Related Discrete Choice Experiments: A
Suzana Karim1, Benjamin M Craig2, Caroline Vass3,4
1University of South Florida, 4202 E Fowler Ave, Tampa, FL, 33620, USA. suzanakarim@usf.edu.
Pharmacoeconomics
|August 12, 2022
Summary
Researchers increasingly analyze preference heterogeneity in health discrete choice experiments (DCEs). Unexplained heterogeneity is more common than explained, but methodological details are often lacking, impacting result reliability.
Area of Science:
- Health Economics
- Health Services Research
- Behavioral Economics
Background:
- Preference heterogeneity analysis is a growing practice in health-related discrete choice experiments (DCEs).
- Understanding diverse methodological approaches to preference heterogeneity is crucial for guiding research practices.
- This systematic review addresses the need for a comprehensive summary of current practices in accounting for preference heterogeneity in healthcare DCEs.
Approach:
- Conducted a systematic literature review of health-related DCE articles published between January 2000 and March 2020.
- Searched PubMed, OVID, Web of Science, and two existing reviews for relevant studies.
- Included articles presenting evidence on preference heterogeneity analysis based on explained, unexplained factors, or both.
Key Points:
- 342 of 2202 articles (16%) met inclusion criteria, with a substantial increase in heterogeneity analyses after 2010.
- Explained heterogeneity (interactions with observable characteristics) was found in 40% of studies.
- Unexplained heterogeneity was primarily captured using mixed logit (60%) or latent-class logit (32.7%) models; scale heterogeneity/heteroskedasticity was explored in 11% of studies.
Conclusions:
- Preference heterogeneity evidence is increasingly utilized in health-related DCEs.
- Unexplained heterogeneity is more commonly addressed than explained heterogeneity, though methodological details are often insufficient.
- Researchers need enhanced technical proficiency to improve the reliability of findings and aid decision-making.
More Related Videos
08:24The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
792
13:04Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
12.2K
Related Concept Videos
01:20Study Designs in Epidemiology
373
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
373
01:16Crossover Experiments
2.9K
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.
2.9K
01:25Strategies for Assessing and Addressing Confounding
146
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
146
01:29Bias in Epidemiological Studies
573
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
573
01:17Cochran's Q Test
524
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
524
01:12Analysis of Population Pharmacokinetic Data
371
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
371