A latent Markov model separates density-driven masking from latent breast-cancer risk, but the reported masking-induced risk increase is a sensitivity consequence, not an empirical estimate.
Mixed-effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study
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Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework
A latent Markov model separates density-driven masking from latent breast-cancer risk, but the reported masking-induced risk increase is a sensitivity consequence, not an empirical estimate.