Resources Repository
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ArticlePublication 2007Multiparameter Calibration of a Natural History Model of Cervical Cancer
This paper presents a two-step approach to model calibration of a comprehensive natural history model …
This paper presents a two-step approach to model calibration of a comprehensive natural history model of human papillomavirus (HPV) and cervical cancer. Using primary epidemiologic data from a longitudinal study of women in Brazil, a plausible range for each input parameter was identified that would produce model output within the 95% confidence intervals of the data. The authors then performed a simultaneous search over all input parameters to identify parameter sets that produced output consistent…
Latin America & Caribbean | Chronic Disease/Risk | Mathematical Models | Microsimulation | Calibration/Validation | Infectious Diseases | Health/Medicine -
ArticlePublication 2002Empirically Calibrated Model of Hepatitis C Virus Infection in the United States
This article presents an epidemiologic model of hepatitis C in the United States. The authors …
This article presents an epidemiologic model of hepatitis C in the United States. The authors used empirical calibration of model parameters to gain insights into uncertainty in the natural history of hepatitis C and to improve future projections. The authors identified model inputs by way of a systematic review. Model simulations were conducted and model predictions were compared with epidemiologic data on infection prevalence and mortality from liver cancer. Goodness-of-fit criteria were used to identify…
North America | Chronic Disease/Risk | Mathematical Models | State-Transition | Calibration/Validation | Infectious Diseases | Health/Medicine -
BookPublication 1996Cost-Effectiveness in Health and Medicine, 1st Edition
In 1993, the US Public Health Service convened a panel of 13 nongovernment scientists and …
In 1993, the US Public Health Service convened a panel of 13 nongovernment scientists and scholars with expertise in economics, clinical medicine, ethics, and statistics to review the state of cost-effectiveness analysis and to develop recommendations for its conduct and use in health and medicine. Publishing their results in 1996, they proposed the most explicit set of guidelines (together with their rationale) ever defined on the conduct of CEAs. The panel recommended analysts include a "reference-case"…
Priority Setting/Ethics | Preferences/Values | Costing Methods | North America | Health Systems | Health Outcomes | Evidence Synthesis | Value of Information | Cost-Effectiveness Analysis | Policy/Regulation | Economics/Finance | Health/Medicine -
ArticlePublication 2023Cost-Effectiveness of Pharmacist Prescribing for Managing Hypertension
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control …
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control in the US. A cost-effectiveness analysis was conducted using a Markov model based on the pharmacist-prescribing intervention used in The Alberta Clinical Trial in Optimizing Hypertension (or RxACTION). Outcomes included cardiovascular (CV) events, end-stage kidney disease events, life years, quality-adjusted life years (QALYs), lifetime costs, and lifetime incremental cost-effectiveness ratio (ICER). Costs were based on reimbursement rates, published literature, national…
North America | Chronic Disease/Risk | Mathematical Models | State-Transition | Cost-Effectiveness Analysis | Clinical Care | Health/Medicine -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
North America | Chronic Disease/Risk | Microsimulation | Calibration/Validation | Health/Medicine -
ArticlePublication 2023Achieving the Cancer Moonshot Goal
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over …
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years. This article estimates trends in U.S. cancer mortality for all cancers and the six leading types and reviews opportunities to prevent, detect, and treat these common cancers.
Priority Setting/Ethics | North America | Health Systems | Mathematical Models | Clinical Care | Health/Medicine -
ArticlePublication 2020Data-Driven Management of Post-Transplant Medications
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their …
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their risk of organ rejection. However, because of the diabetogenic effect of these drugs, this practice exposes them to a greater risk of new-onset diabetes after transplantation (NODAT), and hence, becoming insulin dependent. This study develops effective medication management strategies to address the common conundrum of balancing the risk of organ rejection versus that of NODAT. The article presents a robust…
Operations Research | North America | Chronic Disease/Risk | Mathematical Models | Health/Medicine -
ArticlePublication 2019Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories …
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories of body-mass index (BMI) in the United States. Self-reported BMI from the Behavioral Risk Factor Surveillance System Survey (1993-1994 and 1999-2016) were obtained and corrected for quantile-specific self-reporting bias. Multinomial regressions were then fitted for each state and subgroup to estimate the prevalence of four BMI categories from 1990 through 2030: underweight or normal weight (BMI <25), overweight (25 to…
North America | Chronic Disease/Risk | Health Outcomes | Mathematical Models | Calibration/Validation | Social Determinants -
ArticlePublication 2022Excess Mortality and Elevated Body Weight in the U.S.
This analysis estimates excess mortality associated with elevated body weight in the United States by …
This analysis estimates excess mortality associated with elevated body weight in the United States by state and demographic subgroup. The authors developed a nationally-representative microsimulation (individual-level) model of US adults between 1999 and 2016, based on risk factor data from the Behavioral Risk Factor Surveillance System and body-mass index (BMI) mortality hazard ratios from a global pooling dataset. The model was calibrated to empirical all-cause mortality rates from CDC WONDER by state and subgroup, and…
North America | Chronic Disease/Risk | Health Outcomes | Microsimulation | Calibration/Validation | Social Determinants