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Class of 2023
Session Information

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Session Title:
Epidemiology: Lectures and Tutorials
Teaching Hours:
Teaching and Learning MethodsTotal Scheduled Hours = 10
Lecture = 8
Tutorial = 2

Description:
5 - 2 hr sessions on the following topics: Introduction and Measures used in Disease Frequency, Measure of Association, Study Design, Screening, Diagnostic Testing, Randomized Control Trials (RCTs), Agreement & Survival Analysis. While some sessions will use a lecture format other sessions will combine lecture and tutorial teaching methods.
Keywords:
Epidemiology

Teaching and Learning Methods
Lecture 8 hour(s)
Tutorial 2 hour(s)

Learning Objectives
Blueprint ID Learning Objectives
8347 Define epidemiology and be familiar with its history and current applications.
8348 Define the epidemiological triad.
8349 Identify and define the range of measures used to describe disease and health in a community.
8350 Demonstrate understanding of the uses, strengths and limitations of the measures of disease frequency.
8351 Describe the relationship between incidence, prevalence and duration and know how to use these concepts
8352 Describe the difference between crude and adjusted rates.
8353 Construct 2x2 tables and calculate relative risk measures
8354 Identify, define and calculate the common measures of association used in epidemiology (risk difference, attributable risk exposed, population attributable risk, relative risk, odds ratios).
8355 Define and interpret confidence intervals.
8356 Differentiate between descriptive and analytic study designs in epidemiology.
8357 Identify and describe basic study designs used in epidemiological investigations and describe their advantages and disadvantages (including biases and measures used to minimize them)
8358 Identify ethical considerations for epidemiologic studies.
8359 Identify the measures of risk associated with each of the basic study designs.
8360 Define bias and confounding.
8361 Differentiate between screening and diagnostic tests and identify the criteria used to evaluate them
8362 Define accuracy and precision.
8363 Calculate sensitivity, specificity, positive and negative predictive values of tests and interpret the results as they apply to screening and diagnoses.
8364 Demonstrate an understanding of the principles underlying screening programs, including their ethical issues.
10220 Describe the difference between accuracy and precision.
10221 Calculate Cohen’s Kappa and interpret the result as it applies to the comparison of two tests.
10222 Derive median survival and estimated survival times from Kaplan-Meier curves
10223 Differentiate between analytic study designs and randomized control trials in epidemiology.
10224 Identify and describe randomized control design and describe the advantages and disadvantages of this design.
10225 Identify ethical considerations for randomized control trials.
10226 Identify the requirement for randomization and blinding.
10227 Appraise biases that can occur in RCT
10228 Differentiate between intention to treat and per protocol designs.

Linked Course Goal(s) to Session
Blueprint ID Course Goals
7044 Apply principles of biostatistics and epidemiology to measuring health status of patients and communities
Linked Program Competencies
To This Course Goal:
ld-2 sc-2
Linked Program Competencies To Course Goal(s)
ld-2 Leader
Apply evidence and management processes to effectively allocate health care resources.
sc-2 Scholar
Apply the principles of research, critical appraisal and evidence-based medicine to learning and practice.

Linked MCC Medical Expert Objectives
Medical Expert
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Scholar
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