Note: This is the 2011–2012 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.
Program Requirements
Students will study theoretical and applied statistics and related fields; the program will train them to become independent scientists able to develop and apply statistical methods in medicine and biology and make original contributions to the theoretical and scientific foundations of statistics in these disciplines. Graduates will be prepared to develop new statistical methods as needed and apply new and existing methods in a range of collaborative projects. Graduates will be able to communicate methods and results to collaborators and other audiences, and teach biostatistics to biostatistics students, students in related fields, and professionals in academic and other settings.Thesis
Required Courses
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BIOS 700 Ph.D. Comprehensive Examination Part A
Overview
Biostatistics : Assessment of student's ability to assimilate statistical theory.
Terms: Fall 2011, Summer 2012
Instructors: Platt, Robert William (Fall)
Restriction: Enrolment in the Ph.D. in Biostatistics
Exam is held once yearly
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BIOS 701 Ph.D. Comprehensive Examination Part B
Overview
Biostatistics : Assessment of student's ability to assimilate and apply statistical theory and methods for biostatistics.
Terms: Summer 2012
Instructors: There are no professors associated with this course for the 2011-2012 academic year.
- Restriction (s): Enrolment in the Ph.D. in Biostatistics
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BIOS 702 Ph.D. Proposal
Overview
Biostatistics : Essential skills for thesis writing and defence, including essential elements of research proposals, methodological development and application, and presentation.
Terms: Fall 2011, Summer 2012
Instructors: Platt, Robert William (Fall)
Note: Required for Ph.D. students
Complementary Courses (28 credits)
0-28 credits from the following list: (if a student has not already successfully completed them or their equivalent)
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BIOS 601 Epidemiology: Introduction and statistical models (4 credits)
Overview
Biostatistics : Examples of applications of statistics and probability in epidemiologic research. Source of epidemiologic data (surveys, experimental and non-experimental studies). Elementary data analysis for single and comparative epidemiologic parameters.
Terms: Fall 2011
Instructors: Hanley, James Anthony (Fall)
Prerequisites: Permission of instructor. Undergraduate course in mathematical statistics at level of MATH 324.
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BIOS 602 Epidemiology: Regression Models (4 credits)
Overview
Biostatistics : Multivariable regression models for proportions, rates and their differences/ratios; Conditional logic regression; Proportional hazards and other parametric/semi-parametric models; unmatched, nested, and self-matched case-control studies; links to Cox's method; Rate ratio estimation when "time-dependent" membership in contrasted categories.
Terms: Winter 2012
Instructors: Saarela, Olli (Winter)
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BIOS 624 Data Analysis & Report Writing (4 credits)
Overview
Biostatistics : Common data-analytic problems. Practical approaches to complex data. Graphical and tabular presentation of results. Writing reports for scientific journals, research collaborators, consulting clients.
Terms: Winter 2012
Instructors: Platt, Robert William (Winter)
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MATH 523 Generalized Linear Models (4 credits)
Overview
Mathematics & Statistics (Sci) : Modern discrete data analysis. Exponential families, orthogonality, link functions. Inference and model selection using analysis of deviance. Shrinkage (Bayesian, frequentist viewpoints). Smoothing. Residuals. Quasi-likelihood. Sliced inverse regression. Contingency tables: logistic regression, log-linear models. Censored data. Applications to current problems in medicine, biological and physical sciences. GLIM, S, software.
Terms: Winter 2012
Instructors: Stephens, David (Winter)
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MATH 533 Honours Regression and Analysis of Variance (4 credits)
Overview
Mathematics & Statistics (Sci) : This course consists of the lectures of MATH 423 but will be assessed at the 500 level.
Terms: Fall 2011
Instructors: Khalili Mahmoudabadi, Abbas (Fall)
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MATH 556 Mathematical Statistics 1 (4 credits)
Overview
Mathematics & Statistics (Sci) : Probability and distribution theory (univariate and multivariate). Exponential families. Laws of large numbers and central limit theorem.
Terms: Fall 2011
Instructors: Neslehova, Johanna (Fall)
Fall
Prerequisite: MATH 357 or equivalent
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MATH 557 Mathematical Statistics 2 (4 credits)
Overview
Mathematics & Statistics (Sci) : Sampling theory (including large-sample theory). Likelihood functions and information matrices. Hypothesis testing, estimation theory. Regression and correlation theory.
Terms: Winter 2012
Instructors: Genest, Christian (Winter)
Winter
Prerequisite: MATH 556
12 credits (chosen and approved in consultation with the student's academic adviser), at the 500 level or higher, in statistics/biostatistics.
6 credits (chosen and approved in consultation with the student's academic adviser), at the 500 level or higher, in related fields (e.g., epidemiology, social sciences, biomedical sciences).
Faculty of Medicine—2011-2012 (last updated Aug. 18, 2011) (disclaimer)