Course overview
On completion of this course students should be able to derive and compare population measures of mortality, illness, fertility and survival, be aware of the main sources of routinely collected health data and their advantages and disadvantages, and be able to collect primary data by a well-designed survey and analyse and interpret it appropriately. The content includes: routinely collected health-related data; quantitative methods in demography, including standardisation and life tables; health differentials; and design and analysis of population health surveys including the roles of stratification, clustering and weighting.
Course learning outcomes
- See Study Guides at: https://url.au.m.mimecastprotect.com/s/jyzMCmO5QMCjMl1XJtJi1URPVES?domain=bca.edu.au/
- Derive and compare population measures of mortality, illness, fertility and survival, using basic demographic tools such as life tables and age standardisation
- Access the main sources of routinely collected health data and choose the appropriate one, taking into account their advantages and disadvantages
- Design a valid and reliable health survey to collect primary data
- Choose the most appropriate mode of delivery for a survey
- Design an efficient sampling strategy to obtain a random sample of the target population
- Estimate means, totals and proportions from survey data, taking into account the sample design, and analyse, interpret and present these results