ArticlePharmacoEconomics2020
Modeling Heterogeneity in Patients' Preferences for Psoriasis Treatments in a Multicountry Study: A Comparison Between Random-Parameters Logit and Latent Class Approaches.
Article in PharmacoEconomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- Controlling Symptoms versus Minimizing Negative Treatment Impact: A Grounded Theory Study of Heterogeneity in Patient Preferences for Psoriasis Treatments.Patient preference and adherence · 2026Article
- Oncologists' preferences for first-line treatment of ALK-positive metastatic NSCLC in the United States: a discrete choice experiment.Future oncology (London, England) · 2025Article
- A Stated Preference Study to Explore Market-Based Instruments to Reduce Car Usage.Environmental & resource economics · 2025Article
- A latent class analysis of factors influencing preferences for infant respiratory syncytial virus (RSV) preventives among pregnant people in the United States.Human vaccines & immunotherapeutics · 2024Article
- Patient Preferences for Attributes of Androgen Deprivation Therapies in Prostate Cancer: A Discrete Choice Experiment with Latent Class Analysis.Advances in therapy · 2024Article
- Article
- Self-stigmatization and treatment preferences: Measuring the impact of treatment labels on choices for depression medications.PloS one · 2024Article
- Preferences of general practitioners for delivering adult vaccination: A discrete choice experiment.Human vaccines & immunotherapeutics · 2023Article
- Phenotypes of Psoriasis in Patients in Need of Systemic Treatment, and Correlation with Personal Habits, Treatment History and Comorbidities: A Cross-sectional Latent Class Analysis of Data from the Italian PsoReal Registry.Acta dermato-venereologica · 2023Article
- Preferences of patients with chronic low back pain about nonsurgical treatments: Results of a discrete choice experiment.Health expectations : an international journal of public participation in health care and health policy · 2023Article
- Exploring patient preference heterogeneity for pharmacological treatments for chronic pain: A latent class analysis.European journal of pain (London, England) · 2022Article
- Artificial intelligence in breast cancer screening: primary care provider preferences.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Article
- Myeloma Patient Value Mapping: A Discrete Choice Experiment on Myeloma Treatment Preferences in the UK.Patient preference and adherence · 2020Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEither a random-parameters logit (RPL) or latent class (LC) model can be used to model or explain preference heterogeneity in discrete-choice experiment (DCE) data. The former assumes continuous distribution of preferences across the sample, while the latter assumes a discrete distribution. This study compared RPL and LC models to explore preference heterogeneity when analyzing patient preferences for psoriasis treatments.
methodsUsing DCE data collected from respondents with moderate-to-severe plaque psoriasis, we calculated and compared preference weights derived from RPL and LC models. We then compared how RPL and LC explain preference heterogeneity by exploring differences across subgroups defined by observed characteristics (i.e., country, age, gender, marital status, and psoriasis severity).
resultsWhile RPL and LC models resulted in the same mean preference weights, different preference-heterogeneity patterns emerged from the two approaches. In both models, country of residence and self-reported disease severity could be linked to systematic differences in preferences. The RPL also identified gender and marital status, but not age, as sources of heterogeneity; the LC membership probability model indicated that age was a significant factor, but not gender or marital status.
conclusionsUsing data from a psoriasis patient survey to compare two widely used methods for exploring heterogeneity identified differences in results between stated-preferences: subgroup analysis in the RPL model and inclusion of subgroup characteristics in the class membership probability function of the LC model. Researchers should model data using the most adaptable approach to address the initial study question.
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