ADVANCED EPIDEMIOLOGY II
2017/2018, Semester 2
Saw Swee Hock School of Public Health (Saw Swee Hock School of Public Health)
Modular Credits: 4
This module will be conducted every Monday evening, 6pm - 9pm. There are also classes on
15 March (Thurs) 2pm - 5pm
22 March (Thurs) 2pm - 5pm
Classes will commence on 15 January 2018.
For more information on topics and venues, please check the module schedule uploaded in the IVLE Files. Any changes to the schedule will be reflected in the module schedule.
This module covers advanced methods for the design, conduct, analysis and interpretation of epidemiologic studies. Students will apply these methods to the interpretation of published research and the design of a new research project. The main focus is on analytical studies that aim to identify risk factors for diseases particularly case-control and cohort studies. Topics include causal inference, study design, methods of handling confounding and identifying effect modification, measurement error and information bias, selection bias, lifestyle and molecular epidemiology, and meta-analysis. Students will be expected to critique research articles and participate in facilitated group discussions.
SPH5002 Public Health Research Methods; OR
CO5102 Principles of Epidemiology and CO5103 Quantitative Epidemiologic Methods
Critiques of Research Articles
Student Projects: written study proposal
Upon completion of this course, you will be able to:
Understand the strengths, limitations, and principles of different study designs including retrospective case-control, nested case-control, case-cohort, case-cross over, cohort, cross-sectional, and ecological studies, randomized controlled trials, and trials nested in cohort studies
Identify and interpret effect modification
Identify potential sources of selection and information bias, reverse causation and regression to the mean, and confounding and judge how this may affect results, and understand how to control bias by appropriate study design and rigorous conduct of epidemiological studies
Use and interpret commonly used measures of occurrence, association, and predictive value of screening tests
Explain commonly used considerations for causal inference and models of causality
Understand the concepts ‘validity’ and ‘precision’, ‘random’ and ‘systematic measurement error’, ‘differential’ and ‘non-differential misclassification’, and the use of validation and reproducibility studies for epidemiological research
Understand the general principles and strengths and limitations of systematic reviews and meta-analyses and be able to judge when these are useful
Understand the different steps of conducting a systematic review, causes of publication bias, and the importance of evaluating heterogeneity in study results and be able to interpret the main statistical measures and graphs used in meta-analyses
Understand major considerations specific to the design and interpretation of cancer epidemiology and molecular epidemiology studies
Judge the quality of articles on epidemiological studies and be able to interpret from these articles
Use causal diagrams to describe hypothetical relationships between variables of interest.
Understand the use of instrumental variables to assist causal inference for relationships between exposures and health outcomes (e.g., Mendelian randomisation)
Understand important considerations in attempts to translate epidemiological findings to public health policy
Develop a research grant application. Apply the methods to the design of a research study
Student Presentation of Research Proposal:
Written (final) Research Proposal
Total for CA:
Total for Final Examination:
Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week
When a student is unable to attend the required sessions, an excuse may be granted for limited time periods upon the production of evidence of illness, misadventure or leave of absence having been granted.
Students must inform the Education Office if any of the above has taken place.
Failure to meet attendance requirements will affect module grading.