Dynamic microsimulation models for health outcomes: a review
CM Rutter, AM Zaslavsky… - Medical Decision …, 2011 - journals.sagepub.com
Background. Microsimulation models (MSMs) for health outcomes simulate individual event
histories associated with key components of a disease process; these simulated life histories …
histories associated with key components of a disease process; these simulated life histories …
Fusing physics-based and deep learning models for prognostics
Physics-based and data-driven models for remaining useful lifetime (RUL) prediction
typically suffer from two major challenges that limit their applicability to complex real-world …
typically suffer from two major challenges that limit their applicability to complex real-world …
Bayesian methods for calibrating health policy models: a tutorial
Mathematical simulation models are commonly used to inform health policy decisions.
These health policy models represent the social and biological mechanisms that determine …
These health policy models represent the social and biological mechanisms that determine …
Calibration and validation of the colorectal cancer and adenoma incidence and mortality (CRC-AIM) microsimulation model using deep neural networks
Objectives Machine learning (ML)–based emulators improve the calibration of decision-
analytical models, but their performance in complex microsimulation models is yet to be …
analytical models, but their performance in complex microsimulation models is yet to be …
Real-time model calibration with deep reinforcement learning
The real-time, and accurate inference of model parameters is of great importance in many
scientific and engineering disciplines that use computational models (such as a digital twin) …
scientific and engineering disciplines that use computational models (such as a digital twin) …
An updated natural history model of cervical cancer: derivation of model parameters
Mathematical models of cervical cancer have been widely used to evaluate the comparative
effectiveness and cost-effectiveness of preventive strategies. Major advances in the …
effectiveness and cost-effectiveness of preventive strategies. Major advances in the …
Validation of models used to inform colorectal cancer screening guidelines: accuracy and implications
Background. Microsimulation models synthesize evidence about disease processes and
interventions, providing a method for predicting long-term benefits and harms of prevention …
interventions, providing a method for predicting long-term benefits and harms of prevention …
[HTML][HTML] Microsimulation model calibration using incremental mixture approximate Bayesian computation
Microsimulation models (MSMs) are used to inform policy by predicting population-level
outcomes under different scenarios. MSMs simulate individual-level event histories that …
outcomes under different scenarios. MSMs simulate individual-level event histories that …
Bayesian calibration of a natural history model with application to a population model for colorectal cancer
Background. Cancer natural history models are essential when evaluating
screening/preventative interventions or changes to diagnostic pathways. Natural history …
screening/preventative interventions or changes to diagnostic pathways. Natural history …
Estimating the impact of differential adherence on the comparative effectiveness of stool-based colorectal cancer screening using the CRC-AIM microsimulation model
Background Real-world adherence to colorectal cancer (CRC) screening strategies is
imperfect. The CRC-AIM microsimulation model was used to estimate the impact of imperfect …
imperfect. The CRC-AIM microsimulation model was used to estimate the impact of imperfect …