ArticleThe patient2025
What Can Discrete-Choice Experiments Tell Us about Patient Preferences? An Introduction to Quantitative Analysis of Choice Data.
Article in The patient, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Use of a Discrete Choice Experiment to Inform De-implementation of Mammography Overscreening: A US-Based National Survey.Journal of general internal medicine · 2026Article
- Patient Preferences for Long-Term Prophylactic Treatment in Hereditary Angioedema: A Discrete-Choice Experiment.The patient · 2026Article
- Preoperative information needs and preferences of refractive surgery patients: a discrete choice experiment.Frontiers in medicine · 2026Article
- Community Hypertension Patients' Preferences for Family Doctor Service Packages in China: A Discrete Choice Experiment.Risk management and healthcare policy · 2026Article
- Preferences for Injectable Lipid-Lowering Therapies in Japanese Patients with Atherosclerotic Cardiovascular Disease: Findings from a Japanese Cross-sectional Study.Advances in therapy · 2025Article
- Important Continuous Glucose Monitoring Attributes for Patients With Type 2 Diabetes.Clinical diabetes : a publication of the American Diabetes Association · 2025Article
- Preferences for Neurodevelopmental Follow-Up Care for Children: A Discrete Choice Experiment.The patient · 2024Article
- Discrete Choice Experiment in Evaluating Preferences for Physical Activity: A Mixed-Methods Study of Attributes and Their Levels.Medical journal of the Islamic Republic of Iran · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper provides an introduction to statistical analysis of choice data using example data from a simple discrete-choice experiment (DCE). It describes the layout of the analysis dataset, types of variables contained in the dataset, and how to identify response patterns in the data indicating data quality. Model-specification options include linear models with continuous attribute levels and non-linear continuous and categorical attribute levels. Advantages and disadvantages of conditional logit, mixed logit, and latent-class analysis are discussed and illustrated using the example DCE data. Readers are provided with links to various software programs for analyzing choice data. References are provided on topics for which there currently is limited consensus and on more advanced techniques to guide readers interested in exploring choice-modeling challenges in greater depth. Supplementary materials include the simulated example data used to illustrate modeling approaches, together with R and Matlab code to reproduce the estimates shown.
Indexed as
Identifiers
39048912What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.