Course Objectives:
At the end of the course students should have the following core knowledge and competencies:
1. To understand the principle of statistical and causal inference.
2. To explain how random variation and bias affect public health research findings.
3. To understand the principle of study design in experimental and observational studies.
4. To critically appraise public health literature in terms of validity and applicability.
5. To analyze health dataset using statistical software.
Course Requirements:
Students should read and review the reading material before and after the lecture. The slides of each lecture will be available on the course for students to download. This course includes lectures for critical appraisal. Students need to download the papers from CEIBA for paper critique.
CEPH Competencies Met:
D17-1 |
Explain public health history, philosophy and values |
D17-2 |
Identify the core functions of public health and the 10 Essential Services* |
D17-3 |
Explain the role of quantitative and qualitative methods and sciences in describing and assessing a population’s health |
D17-4 |
List major causes and trends of morbidity and mortality in the US or other community relevant to the school or program |
D17-5 |
Discuss the science of primary, secondary and tertiary prevention in population health, including health promotion, screening, etc. |
D17-6 |
Explain the critical importance of evidence in advancing public health knowledge |
D17-7 |
Explain effects of environmental factors on a population’s health |
D17-8 |
Explain biological and genetic factors that affect a population’s health |
D17-10 |
Explain the social, political and economic determinants of health and how they contribute to population health and health inequities |