Education
PhD Specialized in Statistics. University of Montreal, Montreal, Quebec, Canada.
MS Specialized in Statistics. University of Montreal, Montreal, Quebec, Canada.
BS Specialized in Mathematics, Physics & Engineering sciences. National University of Rwanda, Rwanda, Africa.
Background
Dr Theophile Niyonsenga received his Ph.D. and M.Sc. in Statistics from the University of Montreal, Quebec, Canada. He graduated from National University of Rwanda, Africa with a B.Sc. in Sciences (Mathematics, Physics and Engineering Sciences). He has consultant and teaching experience in the field of biostatistics. Dr. Niyonsenga research themes included applications of statistical analysis methods in epidemiology, namely, longitudinal and repeated measures, spatio-temporal clustering and familial aggregation; multivariate analyses; survey sampling strategies and non-response problems. His ongoing research work includes spatial statistics and geomatics (GIS environment), regression trees and hierarchical models as well as Statistics and ethics in biomedical research. Dr. Niyonsenga has been co-principal investigator for numerous grants and served on peer review research committees. He has several publications in scientific journals as well as articles in progress.
Previous work:
Describe preventive interventions of CVD in family medicine: Physician attitudes towards prevention and treatment; Dyslipidemias and the primary prevention of CVD; Lipid-lowering therapies for secondary prevention of CVD.
Family history of CVD as a risk factor: Family history and the risk of coronary heart disease; Development of a risk scale to evaluation of current coronary heart disease risk using family history variables.
Follow-up of clusters of adverse reproductive outcomes
Trend in prevalence of neural tube defects in Quebec
Impact of self-esteem, social support and stress on pregnancy variables (low birth weight,…) for socio-economically deprived women: a biopsychosocial model.
Changes in the Components of Moral Reasoning during Students’ Medical Education
The incidence of disciplinary culture on the evaluation of ethical risks in research: Social representation of Ethics within research domains (PhD student).
Courses
Biostatistical Methods, Logistic Regression & Survival Analyses, Meta-Analysis in Public Health
Research
Health Disparities and Chronic diseases; Spatial, Multidimensional analyses and Geomatics (GIS environment): Develop univariate and multivariate spatial statistical models for binary, count and survival data; Regression Trees and Hierarchical models: Integrate hierarchy and spatial dependencies within regression trees models; Statistics and Ethics in medical research: Methodological errors in medical research; choice of statistical methods and statistician’s ethical responsibility. See http://www.callisto.si.usherb.ca/~primus/en/index_en.html
Interests
Quote
We have to learn how to live together as brothers otherwise we will die as fools. ++++-- MARTIN LUTHER KING (1929-1968) ---++++. |
