Statistical Design and Analysis
Our statisticians possess expert knowledge and skill in many facets of statistical design and analysis. We apply a variety of innovative statistical methodologies to diverse programs in health and environmental studies, as well as to both government- and private-based program evaluations.
Focus Areas
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Biostatistics
Complex, multisite studies; interdisciplinary studies with multiple data types; randomized clinical trials; disease surveillance; prospective cohort studies; population genetics studies -
Environmental statistics
Environmental sampling design; geostatistics, spatial, and spatio-temporal models; exposure studies; toxicology studies; risk assessment -
Program evaluation
Community-based interventions; multi-site intervention trials and demonstration projects; chronic disease prevention and management programs, such as diabetes and asthma; social and behavioral research with HIV and STD prevention projects; tobacco control programs and policies; cancer control programs and interventions; obesity, nutrition and physical activity programs and interventions -
Statistical genetics and bioinformatics
Clinical trials; natural history studies of disease progression; epidemiological research on incidence, prevalence, risk factors, and causes of diseases; research on genetic contributions to complex biological processes; environmental toxins; analyses of proteomic data
Methodologies
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Experimental design
Blocking or stratification; randomizing experimental units to treatments; randomizing treatment order in cross-over clinical trials; confounding and aliasing higher-order effects; applying specialized methods of analysis for a variety of designs -
Longitudinal analysis and multilevel modeling
Account for survey design, sampling units, stratification; adjust for clustering or stratification of participants; account for repeated measures on the same subject; control for randomization of groups instead of individuals; adjust for repeated tests or observations -
Modeling and simulation
Chronic diseases; infectious and emerging diseases, biothreats; environmental exposure and health risks; cost-effectiveness of medical and public health interventions; epidemic response and containment; resource allocation modeling; forecasting of personnel turnover; predictive models of morbidity and mortality -
Psychometrics
Scale and test development and validation; improvement on existing instruments; incorporating measurement models in analysis for correct inference; understanding sources of measurement error -
Qualitative analysis
Focus groups and triads; key informant interviews; site observations; case studies; document reviews; ethnography; rapid assessment procedure; cognitive/think-aloud interviews -
SUDAAN
Survey-design-sensitive implementation of Taylor series linearization (GEE for regression models), jackknife (with or without user-specified replicate weights), and balanced repeated replication methods of measuring standard errors and conducting statistical tests
Contact us for more information
- Roy W. Whitmore