Validation of microsimulation models against alternative model predictions and long-term colorectal cancer incidence and mortality outcomes of randomized …
Background. This study aimed to assess the validity of 2 microsimulation models of
colorectal cancer (CRC), Policy1-Bowel and ASCCA. Methods. The model-estimated CRC …
colorectal cancer (CRC), Policy1-Bowel and ASCCA. Methods. The model-estimated CRC …
Microsimulation model for prevention and intervention of coloretal cancer in China (MIMIC-CRC): development, calibration, validation, and application
Introduction A microsimulation model provides important references for decision-making
regarding colorectal cancer (CRC) prevention strategies, yet such a well-validated model is …
regarding colorectal cancer (CRC) prevention strategies, yet such a well-validated model is …
Validation of colorectal cancer models on long-term outcomes from a randomized controlled trial
M DeYoreo, I Lansdorp-Vogelaar… - Medical Decision …, 2020 - journals.sagepub.com
Microsimulation models are often used to predict long-term outcomes and guide policy
decisions regarding cancer screening. The United Kingdom Flexible Sigmoidoscopy …
decisions regarding cancer screening. The United Kingdom Flexible Sigmoidoscopy …
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 …
Modeling in colorectal cancer screening: assessing external and predictive validity of miscan-colon microsimulation model using norccap trial results
Background. Microsimulation models are increasingly being used to inform colorectal
cancer (CRC) screening recommendations. MISCAN-Colon is an example of such a model …
cancer (CRC) screening recommendations. MISCAN-Colon is an example of such a model …
Evaluating risk factor assumptions: a simulation-based approach
CM Rutter, DL Miglioretti, JE Savarino - BMC medical informatics and …, 2011 - Springer
Background Microsimulation models are an important tool for estimating the comparative
effectiveness of interventions through prediction of individual-level disease outcomes for a …
effectiveness of interventions through prediction of individual-level disease outcomes for a …
CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies
Background Colorectal cancer (CRC) is a leading cause of cancer-related mortality. CRC
incidence and mortality can be reduced by several screening strategies, including …
incidence and mortality can be reduced by several screening strategies, including …
An evidence-based microsimulation model for colorectal cancer: validation and application
CM Rutter, JE Savarino - Cancer epidemiology, biomarkers & prevention, 2010 - AACR
Abstract Background: The Colorectal Cancer Simulated Population model for Incidence and
Natural history (CRC-SPIN) is a new microsimulation model for the natural history of …
Natural history (CRC-SPIN) is a new microsimulation model for the natural history of …
Clarifying differences in natural history between models of screening: the case of colorectal cancer
M Van Ballegooijen, CM Rutter… - Medical Decision …, 2011 - journals.sagepub.com
Background. Microsimulation models are important decision support tools for screening.
However, their complexity makes them difficult to understand and limits realization of their …
However, their complexity makes them difficult to understand and limits realization of their …
Description and validation of the colorectal cancer and adenoma incidence & mortality (CRC-AIM) microsimulation model
Background Microsimulation models of colorectal cancer (CRC) have helped inform national
screening guidelines and health policy decision-making. However, detailed descriptions of …
screening guidelines and health policy decision-making. However, detailed descriptions of …
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