Not all of the listed courses are given each year. The course is offered in the language in which it is described.
Course codes in parentheses are for Carleton University. A 3-unit course at the University of Ottawa is equivalent to a 0.5-unit course at Carleton University.
MAT5190 (STAT 5600) MATHEMATICAL STATISTICS I (3 units)
Statistical decision theory; likelihood functions; sufficiency; factorization theorem; exponential families; UMVU estimators; Fisher's information; Cramer-Rao lower bound; maximum likelihood and moment estimation; invariant and robust point estimation; asymptotic properties; Bayesian point estimation. Prerequisites: MAT 3172 and MAT 3375. Prerequisites: MAT3172 and MAT3375.
MAT5191 (STAT 5501) MATHEMATICAL STATISTICS II (3 units)
Confidence intervals and pivotals; Bayesian intervals; optimal tests and Neyman-Pearson theory; likelihood ratio and score tests; significance tests; goodness-of-fit tests; large sample theory and applications to maximum likelihood and robust estimation. Prerequisite: MAT 5190.
MAT5317 (STAT 5602) ANALYSIS OF CATEGORICAL DATA (3 units)
Analysis of one-way and two-way tables of nominal date; multi-dimensional contingency tables, log-linear models; tests of symmetry, marginal homogeneity in square tables; incomplete tables; tables with ordered categories; fixed margins, logistic models with binary response; measures of association and agreement; applications biological.
MAT5375 (STAT 5610) MATHEMATICAL STATISTICS (3 units)
Limit theorems; sampling distributions; parametric estimation; concepts of sufficiency and efficiency; Neyman-Pearson paradigm, likelihood ratio tests; parametric and non-parametric methods for two-sample comparisons; notions of experimental design, categorical data analysis, the general linear model, decision theory and Bayesian inference. Prerequisites: MAT2121, (MAT2141 or MAT2342), MAT2375. Exclusion: Students in the MSc program cannot combine this course with MAT5190 (STAT5600) for credit towards the master’s program.
MAT5992 (STAT 5902) SEMINAR IN BIOSTATISTICS (3 units)
Students work in teams on the analysis of experimental data or experimental plans. The participation of experimenters in these teams is encouraged. Student teams present their results in the seminar, and prepare a brief written report on their work.
MAT7999 THÈSE DE MAÎTRISE / MSc THESIS
EPI5240 EPIDEMIOLOGY I - INTRODUCTORY EPIDEMIOLOGY (3 units)
An overview of epidemiology - uses, methods, and data sources. Descriptive and analytical epidemiology. Lectures and assignments in which students will work with data and will gain experience in critically reviewing epidemiologic literature. Prerequisites: EPI 5242 (Biostatistics I) or equivalent; may be taken concurrently with the permission of the program director. Prerequisites: EPI5242 (Biostatistics I) or equivalent; may be taken concurrently. Permission of instructor.
EPI5241 EPIDEMIOLOGY II - ADVANCED EPIDEMIOLOGY (3 units)
This second level epidemiology course covers major principles of design, analysis, and interpretation of epidemiologic research. Material presented in a quantitative manner. Prerequisites: EPI 5240 (Epidemiology I) and EPI 6276 (Quantitative Methods in Epidemiology); EPI 6276 may be taken concurrently with the permission of the program director. Prerequisites: EPI5240 (Epidemiology I) and EPI 6276 (Quantitative Methods in Epidemiology).
EPI6178 INTERVENTION STUDIES IN HEALTH RESEARCH (3 units)
Practical introduction to intervention studies in the health field, including experimental and quasi-experimental studies and clinical and community trials. Question formulation; conduct of literature reviews; design issues (choice of research design and study population, implications for validity of results); ethical issues; instrument development; data collection and management; approach to data analysis; report writing and presentation. Examples drawn from both population and clinical research. Development and presentation of proposal for an intervention study. Prerequisite: Permission of the program director.
EPI6278 ADVANCED CLINICAL TRIALS (3 units)
Lectures and laboratories on the detailed principles, design, methodology and statistical techniques associated with clinical trials. Emphasis on emerging topics and procedures. Prerequisites: EPI 5242 and EPI 6178 and permission of the program director. Prerequisites: EPI5242 and EPI6178 and permission of instructor.
EPI5330 VITAL AND HEALTH STATISTICS AND DEMOGRAPHY (3 units)
Techniques of demography, health and vital statistics with particular reference to health care and epidemiologic research. The Canadian demographic structure and trends, vital registration procedures, calculation and interpretation of vital rates, life table analysis and record linkage. Lectures and exercises. Prerequisite: Permission of the program director.
EPI6276 QUANTITATIVE METHODS IN EPIDEMIOLOGY (3 units)
Application of advanced topics in statistical methods for epidemiologic data analysis: logistic regression and discriminant analysis, Poisson regression, contingency table analysis (including log-linear modelling), time series, survival analysis, Cox regression with and without time-dependent covariates, principle components and factor analysis. Prerequisites: EPI 5240 and EPI 5242 and permission of the program director. Prerequisites: EPI5242 or equivalent, and EPI 5241 (may be done concurrently), or permission of the professor.
EPI7999 THÈSE DE MAÎTRISE EN ÉPIDÉMIOLOGIE / MSc THESIS IN EPIDEMIOLOGY