Education
- BS, Liberal Arts, Ambassador College, 1972
- MS, Economics and Management Science, University of California, Los Angeles, 1980
- PhD, Statistics and Operations Research, Louisiana State University, 1990
Research Interests
Dr. Horswell works extensively on the development of new or enhanced methods for data analysis, especially for what is now call “big data.” He also has a strong interest in expanding the scope of data resources that can be used for health-related research; that is, increasing the feasibility of using existing data from different type of organizations (e.g., insurers as well as health care provider systems) and from both large and small data-owning organizations. Topically, his research interests focus on evidence gaps in health care delivery; for example, cancer screening issues that arise in clinical practice, but which the existing evidence and guidelines do not adequately address.
Selected Publications
- Risk of healthcare visits from influenza in subjects with diabetes and impacts of early vaccination.
- Trends in the Incidence of Gestational Diabetes Mellitus Among the Medicaid Population Before and During the COVID-19 Pandemic.
- National COVID Cohort Collaborative (N3C) Consortium. Higher hospitalization and mortality rates among SARS-CoV-2-infected persons in rural America
- The Association Between Neighborhood Social Vulnerability and COVID-19 Testing, Positivity, and Incidence in Alabama and Louisiana
- Analysis of Pregnancy and Birth Rates Among Black and White Medicaid-Enrolled Teens
- Louisiana Clinical Data Research Network: establishing an infrastructure for efficient conduct of clinical research
- Diabetes Mellitus Disease Management in a Safety Net Hospital System: Translating Evidence into Practice
- Factors influencing inappropriate use of ED visits among type 2 diabetics in an evidence-based management programme
- Factors influencing acceptance of influenza vaccination given in an ED
- Diagnostic limitations of skewness coefficients in assessing departures from univariate and multivariate normality