Rhonda J. Rosychuk, Ph.D., P.Stat., PStat®(ASA)
Professor, Division of Infectious Diseases, Department of Pediatrics
Director, Biostatistics Consulting Group
Adjunct Professor, Department of Mathematical and Statistical Sciences
Adjunct Professor, Department of Statistics and Actuarial Sciences, Simon Fraser University
My research interests focus on developing new statistical methodology in the areas of (i) data arising from diagnostic medical studies, (iii) longitudinal data with misclassification, and (iii) disease surveillance and cluster detection.
(i) Clinicians and researchers routinely use the results of diagnostic tests to diagnose new patients and monitor patients with disease. Often the diagnostic tests may be imperfect and a "gold standard" test may be too invasive, dangerous, or expensive to routinely use. With medical advancements, new diagnostic tests are developed that need to be examined in terms of their accuracy and other properies. I work to develop biostatistical methods for the design and analysis of data from diagnostic medical studies.
(ii) In the absence of a gold standard, researchers may only be able to collect data that are not perfect. If the data are collected over time and may not correctly classify the true disease process, then the term longitudinal data with misclassification is used. I develop methods to deal with these type of data when there are only a few disease states.
(iii) Health authorities may be alerted to geographic areas where the incidence of a disease is suspected to be too large. Disease maps attempt to enhance the understanding of disease processes by showing the spatial distribution of diseases and identifying hot spots of high disease rates. Disease cluster detection methods can be used to monitor administrative regions for high disease rates (surveillance). My work deals with detecting statistically significant disease clusters in regions with diverse population sizes and around sources of possible contamination.
Copyright © 1999-2018 Rhonda J. Rosychuk