Department of Pediatrics, University of Alberta
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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

3-524 Edmonton Clinic Health Academy (ECHA)  
11405 87 Avenue NW
University of Alberta
Edmonton, Alberta Canada T6G 1C9   

  Phone: (780) 492-0318
Fax:      (780) 248-5625
rhonda.rosychuk@ualberta.ca


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    Research:

My research interests focus on developing new statistical methodology in the areas of (i) administrative health data, (iii) longitudinal data, and (iii) disease surveillance and cluster detection.

(i) Canada's publicly funded health care system means that data are collected in the process of administering health services. Alberta has rich sources of administrative health data including ambulatory care visits and hospitalizations. I request data to answer questions about health services use and work to develop new methodology. Many of my studies have focused on presentations to Emergency Departments for respiratory, cardiac, and mental health conditions. These types of studies would be part of the "big data" revolution.

(ii) I am interested in models for recurrent event data, with one or multiple states. These data frequently arise in health services and I am working on methods to better design studies and analyze the data.

(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. I am gaining more interest and experience in more general spatial and spatio-temporal models as well.


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