A5032696513- Health Systems, Economic Evaluations, Quality of Life
- Healthcare Policy and Management
- Pharmaceutical Economics and Policy
- Advanced Causal Inference Techniques
- Global Health Care Issues
- Healthcare cost, quality, practices
- Statistical Methods in Clinical Trials
- Economic and Financial Impacts of Cancer
- Pharmaceutical industry and healthcare
- Primary Care and Health Outcomes
- Medication Adherence and Compliance
- Health disparities and outcomes
- Hemoglobinopathies and Related Disorders
- Schizophrenia research and treatment
- Emergency and Acute Care Studies
- Pharmaceutical Practices and Patient Outcomes
- Statistical Methods and Inference
- Geriatric Care and Nursing Homes
- Iron Metabolism and Disorders
- Global Cancer Incidence and Screening
- Software Engineering Techniques and Practices
- Diabetes Treatment and Management
- Diabetes Management and Research
- Cancer Genomics and Diagnostics
- Bariatric Surgery and Outcomes
University of Washington
2016-2025
National Bureau of Economic Research
2014-2024
Seattle University
2015-2024
Washington University in St. Louis
2023
Bellevue Hospital Center
2022-2023
Northwestern University
2014-2023
EuroQol Research Foundation
2022-2023
National Health Council
2020
All India Institute of Medical Sciences
2019
National Academy of Medical Sciences
2019
<h3>Importance</h3> Since publication of the report by Panel on Cost-Effectiveness in Health and Medicine 1996, researchers have advanced methods cost-effectiveness analysis, policy makers experimented with its application. The need to deliver health care efficiently importance using analytic techniques understand clinical economic consequences strategies improve increased recent years. <h3>Objective</h3> To review state field provide recommendations quality analyses. intended audiences...
OBJECTIVE We developed a novel population-level model for projecting future direct spending on diabetes. The can be used in the federal budget process to estimate cost implications of alternative policies. RESEARCH DESIGN AND METHODS constructed Markov simulating individuals' movement across different BMI categories, incidence diabetes and screening, natural history its complications over next 25 years. Prevalence obesity care are projected. study population is 24- 85-year-old patients...
We propose an extension to the estimating equations in generalized linear models estimate parameters link function and variance structure simultaneously with regression coefficients. Rather than focusing on coefficients, purpose of these is inference about mean outcome as a set covariates, various functionals used measure effects covariates. A commonly functional econometrics, referred marginal effect, partial derivative respect any covariate, averaged over empirical distribution covariates...
Background: Information about the effect of Medicare Part D Prescription Drug Benefit on drug utilization and expenditures is limited. Objective: To estimate changes in prescription out-of-pocket attributable to among a sample persons eligible for benefit. Design: Generalized estimating equations were used beneficiaries. A control group was included secular trends unrelated Setting: National pharmacy chain representing approximately 15% all U.S. retail sales. Participants: Persons age 66 79...
Instrumental variable (IV) methods are widely used in the health economics literature to adjust for hidden selection biases observational studies when estimating treatment effects. Less attention has been paid applied proper use of IVs if effects heterogeneous across subjects and individuals select treatments based on expected idiosyncratic gains or losses from treatments. In this paper we compare conventional IV analysis with alternative approaches that estimate models response...
ABSTRACT The quantile regression (QR) framework provides a pragmatic approach in understanding the differential impacts of covariates along distribution an outcome. However, QR that has pervaded applied economics literature is based on conditional method. It used to assess impact covariate outcome specific values other covariates. In most cases, may generate results are often not generalizable or interpretable policy population context. contrast, unconditional method more as it marginalizes...
Purpose. To develop regression models for outcomes with truncated supports, such as health-related quality of life (HRQoL) data, and account features typical data a skewed distribution, spikes at 1 or 0, heteroskedasticity. Methods. Regression estimators based on the Beta distribution. First, both single equation 2-part model are presented, along estimation algorithms maximum-likelihood, quasi-likelihood, Bayesian Markov-chain Monte Carlo methods. A novel quasi-likelihood estimator is...
Objective To assess the costs of a housing and case management program in novel sample—homeless adults with chronic medical illnesses. Data Source The study used data from multiple sources: (1) electronic records for hospital, emergency room, ambulatory mental health visits; (2) institutional regional databases days respite centers, jails, or prisons; (3) interviews nursing homes, shelters, substance abuse treatment manager visits. Total were estimated using unit each service. Study Design...
<h3>Importance</h3> Unscheduled short-term return visits to the emergency department (ED) are increasingly monitored as a hospital performance measure and have been proposed of quality care. <h3>Objective</h3> To examine in-hospital clinical outcomes resource use among patients who hospitalized during an unscheduled visit ED. <h3>Design, Setting, Participants</h3> Retrospective analysis adult ED acute care hospitals in Florida New York 2013 using data from Healthcare Cost Utilization...
This JAMA Guide to Statistics and Methods reviews the use of cost-effectiveness analysis quantify tradeoffs in costs, harms, benefits new health care interventions compared with existing interventions.
The extent to which trial-level factors differentially influence accrual trials has not been comprehensively studied. Our objective was evaluate the empirical relationship and predictive properties of putative risk for low in National Cancer Institute's (NCI's) Cooperative Group Program, now Clinical Trials Network (NCTN).
Sickle cell disease (SCD) is a severe monogenic associated with high morbidity, mortality, and disproportionate burden on Black Hispanic communities. Our objective was to estimate the total healthcare costs out-of-pocket (OOP) attributable SCD among commercially insured individuals over their nonelderly lifetimes (0 64 years of age). We constructed retrospective cohort diagnosed using Truven Health Marketscan commercial claims data from 2007 through 2018, compared matched control subjects...
To our knowledge, we report the first population-based period life table, expected lifetime survival for Medicare and Medicaid beneficiaries with sickle cell disease (SCD), disparities in by insurance types United States. We constructed a retrospective cohort of individuals diagnosed SCD receiving common care (any real-world patterns except transplant) based on nationwide claim data (2008-2016), covering all 50 states. analyzed probabilities using Kaplan-Meier curves projected expectancies...