Resources Repository
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OrganizationWeb Portal 2024American Statistical Association (ASA)
The American Statistical Association (ASA) founded in 1839, is the world’s second-oldest, continuously operating professional association …
The American Statistical Association (ASA) founded in 1839, is the world’s second-oldest, continuously operating professional association in the country. The ASA has supported the development, application, and dissemination of statistical science through meetings, publications, membership services, accreditation, fellowships and grants, and advocacy. ASA provides educational materials for K–12 undergraduate and graduate faculty, statistics students, and statisticians in developing countries, including classroom resources, publications in statistics education, guidelines and reports, professional development resources, communities, competitions, programs, and resources…
Evidence Synthesis | Probability/Bayes | Decision Theory | North America | Business/Industry | Climate/Environment | Education/Labor | Food/Agriculture | Health/Medicine | Military/Defense | Science/Technology | Global -
Lesson/ModuleVideo, Teaching Resource 2018Estimating Transition Probabilities for a Model
This video is intended to provide a discussion on various methods for deriving probabilities that are …
This video is intended to provide a discussion on various methods for deriving probabilities that are needed for decision models. Presented are the concepts of literature based Odds Ratios and Relative Risks, which need to be transformed into probabilities, how to deal with probability estimates from time frames not relevant to the model in question, and how to derive probabilities from published summary statistics. This lecture is aimed at the researcher who is interested in operationalizing…
Evidence Synthesis | Probability/Bayes | North America | Mathematical Models | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Forensic Pattern Recognition
This module uses latent print (fingerprint) identification as a case study of the broader category …
This module uses latent print (fingerprint) identification as a case study of the broader category of forensic pattern recognition evidence. The case of forensic pattern recognition evidence is meant, in turn, to be a case study of the broader issue of the interaction between science and law and policy. The case of fingerprinting identification poses challenging questions for legal professionals and policy-makers. Although fingerprint identification is one of the most widely used and widely trusted…
Probability/Bayes | Decision Theory | North America | Decision Analysis | Policy/Regulation | Government/Law | Science/Technology | Global | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Evidence Synthesis | Calibration/Validation | North America | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Evidence Synthesis | Calibration/Validation | North America | Costing Methods | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine -
ReviewPublication 2022Systematic Review of Economic Evaluations of COVID-19 Interventions: Non-Health Impacts and Distributional Issues
The authors conducted a systematic review of economic evaluations of COVID-19 interventions and assessed whether …
The authors conducted a systematic review of economic evaluations of COVID-19 interventions and assessed whether they incorporated non-health impacts and distributional concerns. Among the 70 articles included, more than half (56%) included at least one non-health impact, although only 21% incorporated non-economic consequences. Only 17% examined subgroups of interest. The median ICER for the entire sample was $67,000/quality-adjusted life-year (QALY) (interquartile range [IQR] $9000-$893,000/QALY). Interventions including a pharmaceutical component yielded a median ICER of $93,000/QALY (IQR…
Evidence Synthesis | North America | Cost-Effectiveness Analysis | Infectious Diseases | Social Determinants | Culture/Society | Economics/Finance | Health/Medicine -
ArticlePublication 2019Estimation of Eating Disorders Prevalence by Age and Associations with Mortality in a Simulated Nationally Representative U.S. Cohort
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, …
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, and estimates the association of increased treatment coverage with ED-related mortality. Using an individual-level Markov state transition model calibrated to nationally-representative US survey data from 2007 and 2011, the authors simulated a virtual cohort of 100,000 individuals (50% male) from birth to age 40 years and modelled 4 ED diagnoses: anorexia nervosa, bulimia nervosa, binge eating disorder, and other specified…
Calibration/Validation | North America | Health Outcomes | Microsimulation | Child/Nutrition | Mental Health -
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…
Calibration/Validation | North America | Health Outcomes | Mathematical Models | Chronic Disease/Risk | 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…
Calibration/Validation | North America | Health Outcomes | Microsimulation | Chronic Disease/Risk | Social Determinants