Bayesian Measurement-Error-Driven Hidden Markov Regression Model for Calibrating the Effect of Covariates on Multistate Outcomes: Application to Androgenetic Alopecia

    May 2018 in “ Statistics in Medicine ”
    Amy Ming Fang Yen, Tony Hsiu Hsi Chen
    Studysummary This study found that the proposed Bayesian measurement-error-driven hidden Markov regression model effectively calibrated inflated covariate effect sizes in a community-based survey on androgenetic alopecia regardless of misclassification type.
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    Research cited in this study 2

    1. Association of Androgenetic Alopecia with Metabolic Syndrome in Men: A Community-Based Survey British Journal of Dermatology · 2010
    2. Classification of the Types of Androgenetic Alopecia (Common Baldness) Occurring in the Female Sex British Journal of Dermatology · 1977