Academic Calendar - 2024
Western University Academic Calendar. - 2024
Epidemiology
The calculation and interpretation of basic epidemiologic measures, the strengths and weaknesses of various study designs, and the critical appraisal of published medical and epidemiologic studies.
Pre-or Corequisite(s): One of the following: Biology 2244A/B, Psychology 2811A/B, Statistical Sciences 2035, Statistical Sciences 2141A/B, Statistical Sciences 2143A/B, Statistical Sciences 2244A/B, Statistical Sciences 2858A/B, the former Psychology 2810.
Extra Information: 2 lecture hours, 1 tutorial hour.
Course Weight: 0.50
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An examination of the major research issues in epidemiology studies focusing on principal sources of bias (sampling, measurement, and confounding) and other technical issues (e.g. effect-measure modification) in estimates of exposure-outcome associations. Understanding general and design-specific issues is accomplished through critical appraisal of published papers in selected topic areas.
Prerequisite(s): One of Biology 2244A/B or Statistical Sciences 2244A/B with a mark of at least 75%; Epidemiology 2200A/B, or the former Epidemiology and Biostatistics 2200A/B, with a mark of at least 75%.
Pre-or Corequisite(s): Biostatistics 3100A.
Extra Information: 2 lecture hours and 1 laboratory hour.
Course Weight: 0.50
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This course will teach the fundamentals of observational study designs (case-control and cohort). The course will be problem-based and taught using published studies as examples. Course assignments and projects will include development and critique of protocols.
Prerequisite(s): Biostatistics 3100A and Epidemiology 3200A, with a minimum mark of 70% in each.
Extra Information: 3 lecture hours.
Course Weight: 0.50
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A survey course covering the descriptive epidemiology (incidence and prevalence) and analytic epidemiology (risk and protective factors) of the infectious and chronic disease that are leading causes of death and disability. Effects of personal characteristics (age, gender), place (developing versus developed countries) and changes in occurrence over time are emphasized.
Extra Information: 3 lecture hours.
Course Weight: 0.50
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Introduction to the process of systematic reviews and meta-analysis, including formulating a research question, defining inclusion and exclusion criteria for the search, literature search method, data extraction, qualitative and quantitative synthesis of evidence.
Pre-or Corequisite(s): Biology 2244A/B or Statistical Sciences 2244A/B, and Epidemiology 2200A/B, with a minimum mark of 75% in each.
Extra Information: 3 lecture hours.
Course Weight: 0.50
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A course on the fundamental principles and methods of Public Health (e.g. disease surveillance, outbreak investigations) as practiced by agencies such as Public Health Agency of Canada and local Health Units. Assignments will be based on actual public health problems. Both local and international perspectives will be introduced.
Prerequisite(s): Biostatistics 3100A and Epidemiology 3200A.
Extra Information: 3 lecture hours.
Course Weight: 0.50
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An introduction to methods for the design, analysis and interpretation of studies that evaluate the sensitivity and specificity of diagnostic tests and the outcomes of new treatments and health technologies. The course will also explore health policy and will follow examples of translation of knowledge generated by clinical epidemiology studies.
Prerequisite(s): Biostatistics 3100A and Epidemiology 3200A.
Extra Information: 3 lecture hours.
Course Weight: 0.50
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A course focusing on the economics concepts and methods relevant to understand health policy decisions from an economic perspective. This course will cover following topics: microeconomic tools for health economics, demand for and supply of healthcare, health insurance, market failure in the health sector and methods of economic evaluation.
Prerequisite(s): Biostatistics 3100A and Epidemiology 3200A, with a minimum mark of 70% in each.
Extra Information: 3 lecture hours.
Course Weight: 0.50
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This course will cover topics related to the theoretical economic foundation of cost-utility and cost-benefit analyses, and decision analytic models and statistical methods for the economic evaluation of health interventions. Application of Decision Tree Model, Markov Model and Microsimulation Model and uncertainty in health & medicine will be considered.
Prerequisite(s): One of Epidemiology 4600A or Economics 2261A/B, with a mark of at least 70%.
Extra Information: 2 lecture hours and 1 laboratory hour.
Course Weight: 0.50
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Introduction to the statistical and clinical issues in the design and analysis of controlled clinical trials involving human subjects.
Pre-or Corequisite(s): Biostatistics 3110B.
Extra Information: 3 lecture hours.
Course Weight: 0.50
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Epidemiology
The calculation and interpretation of basic epidemiologic measures, the strengths and weaknesses of various study designs, and the critical appraisal of published medical and epidemiologic studies.
Pre-or Corequisite(s): One of the following: Biology 2244A/B, Psychology 2811A/B, Statistical Sciences 2035, Statistical Sciences 2141A/B, Statistical Sciences 2143A/B, Statistical Sciences 2244A/B, Statistical Sciences 2858A/B, the former Psychology 2810.
Extra Information: 2 lecture hours, 1 tutorial hour.
Course Weight: 0.50
Return to top
An examination of the major research issues in epidemiology studies focusing on principal sources of bias (sampling, measurement, and confounding) and other technical issues (e.g. effect-measure modification) in estimates of exposure-outcome associations. Understanding general and design-specific issues is accomplished through critical appraisal of published papers in selected topic areas.
Prerequisite(s): One of Biology 2244A/B or Statistical Sciences 2244A/B with a mark of at least 75%; Epidemiology 2200A/B, or the former Epidemiology and Biostatistics 2200A/B, with a mark of at least 75%.
Pre-or Corequisite(s): Biostatistics 3100A.
Extra Information: 2 lecture hours and 1 laboratory hour.
Course Weight: 0.50
Return to top
This course will teach the fundamentals of observational study designs (case-control and cohort). The course will be problem-based and taught using published studies as examples. Course assignments and projects will include development and critique of protocols.
Prerequisite(s): Biostatistics 3100A and Epidemiology 3200A, with a minimum mark of 70% in each.
Extra Information: 3 lecture hours.
Course Weight: 0.50
Return to top
A survey course covering the descriptive epidemiology (incidence and prevalence) and analytic epidemiology (risk and protective factors) of the infectious and chronic disease that are leading causes of death and disability. Effects of personal characteristics (age, gender), place (developing versus developed countries) and changes in occurrence over time are emphasized.
Extra Information: 3 lecture hours.
Course Weight: 0.50
Return to top
Introduction to the process of systematic reviews and meta-analysis, including formulating a research question, defining inclusion and exclusion criteria for the search, literature search method, data extraction, qualitative and quantitative synthesis of evidence.
Pre-or Corequisite(s): Biology 2244A/B or Statistical Sciences 2244A/B, and Epidemiology 2200A/B, with a minimum mark of 75% in each.
Extra Information: 3 lecture hours.
Course Weight: 0.50
Return to top
A course on the fundamental principles and methods of Public Health (e.g. disease surveillance, outbreak investigations) as practiced by agencies such as Public Health Agency of Canada and local Health Units. Assignments will be based on actual public health problems. Both local and international perspectives will be introduced.
Prerequisite(s): Biostatistics 3100A and Epidemiology 3200A.
Extra Information: 3 lecture hours.
Course Weight: 0.50
Return to top
An introduction to methods for the design, analysis and interpretation of studies that evaluate the sensitivity and specificity of diagnostic tests and the outcomes of new treatments and health technologies. The course will also explore health policy and will follow examples of translation of knowledge generated by clinical epidemiology studies.
Prerequisite(s): Biostatistics 3100A and Epidemiology 3200A.
Extra Information: 3 lecture hours.
Course Weight: 0.50
Return to top
A course focusing on the economics concepts and methods relevant to understand health policy decisions from an economic perspective. This course will cover following topics: microeconomic tools for health economics, demand for and supply of healthcare, health insurance, market failure in the health sector and methods of economic evaluation.
Prerequisite(s): Biostatistics 3100A and Epidemiology 3200A, with a minimum mark of 70% in each.
Extra Information: 3 lecture hours.
Course Weight: 0.50
Return to top
This course will cover topics related to the theoretical economic foundation of cost-utility and cost-benefit analyses, and decision analytic models and statistical methods for the economic evaluation of health interventions. Application of Decision Tree Model, Markov Model and Microsimulation Model and uncertainty in health & medicine will be considered.
Prerequisite(s): One of Epidemiology 4600A or Economics 2261A/B, with a mark of at least 70%.
Extra Information: 2 lecture hours and 1 laboratory hour.
Course Weight: 0.50
Return to top
Introduction to the statistical and clinical issues in the design and analysis of controlled clinical trials involving human subjects.
Pre-or Corequisite(s): Biostatistics 3110B.
Extra Information: 3 lecture hours.