ADVANCED EPIDEMIOLOGY II
2018/2019, 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, and on selected Thursdays, 2pm - 5pm. Classes will commence on 14 January 2019. The following are the dates for the Thursday classes:
14 March 2019
21 March 2019
28 March 2019
The SPH6001 module shares lectures with SPH5203. Students will need to commit to either SPH5203 or SPH6001 from the start. Students who wish to switch from SPH5203 to SPH6001 or vice versa will need to do so by instructional week 1. No changes are allowed after instructional week 1.
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-crossover, 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
Identify potential sources of confounding and understand how to address confounding in the design and analysis of epidemiological studies
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 lifestyle, molecular epidemiology and cancer 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 and mediation analysis to assist causal inference for relationships between exposures and health outcomes, e.g. Mendelian randomization
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:
With effect from AY2018/2019 Semester 1, all lecture recordings will be migrated to LumiNUS. To access the lecture recordings, please do the following:
Login to LumiNUS (
Click on the module code
Go to Tools --> Web Lectures
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.