Calibration Targets.

<div><p> Background </p><p>Simulation models of opioid use disorder (OUD) aim at evaluating the impact of different treatment strategies on population-level outcomes. Researching Effective Strategies to Prevent Opioid Death (RESPOND) is a dynamic population, state-transition...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	R. W. M. A. Madushani (6555692) (author)
مؤلفون آخرون:	Jianing Wang (465119) (author), Michelle Weitz (9710002) (author), Benjamin P. Linas (9079925) (author), Laura F. White (7512500) (author), Stavroula A. Chrysanthopoulou (12271123) (author)
منشور في:	2025
الموضوعات:	Genetics Biotechnology Evolutionary Biology Science Policy Infectious Diseases Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reveal underlying relationships researching effective strategies prevent opioid death opioid use disorder opioid modeling pose iterative process resulting different treatment strategies annual fatal opioid algorithm allowed us empirically calibrated parameters approximating parameter distributions comprehensive calibration exercise treatment transition rates improve shared decision model closely fits complex simulation models empirical calibration resulted calibrated respond model oud population sizes shared decision complex models transition model simulation model model parameters overdose rates fits well empirical calibration parameter values parameter uncertainty empirical approach model calibration calibration targets bayesian calibration model improvement model assessing xlink "> validation targets structural complexity starting point special challenge related overdoses projections important oud outside multiple targets multiple sources level outcomes inform priors identify areas g ., explore structural efficient tool dynamic population detox admissions complete uncertainty calibrate respond available data accurate representation
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Calibration Targets.

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