Modeling Heterogeneity in Patients' Preferences for Psoriasis Treatments in a Multicountry Study: A Comparison Between Random-Parameters Logit and Latent Class Approaches.
Marco BoeriDaniel SaureAlexander SchachtElisabeth RiedlBrett HauberPublished in: PharmacoEconomics (2021)
Using 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.
Keyphrases
- end stage renal disease
- electronic health record
- single cell
- chronic kidney disease
- clinical trial
- ejection fraction
- randomized controlled trial
- peritoneal dialysis
- prognostic factors
- mass spectrometry
- machine learning
- cross sectional
- decision making
- case report
- phase iii
- study protocol
- deep learning
- tandem mass spectrometry
- double blind