EPIET Sampling ModuleArchived
The module was jointly organized by ECDC and EAP with the collaboration of Epicentre (one of the EPIET training hosting site). Topics covered by the module were: basic concepts of sampling, major sampling designs with both practical and theoretical approach (how to take a sample; formulas for estimation of population characteristics). A case study allowed analyzing survey data taking into account the sampling design
Objectives
- Discuss the general principles of sampling:
- Understand the concepts of population, sample, parameters, estimates;
- Describe the methodologies used for selecting the sample from the population;
- Discuss their advantages and limitations;
- Specify algorithms and formulas used for obtaining estimates of the population parameters from the sample data and for estimating the reliability of these population estimates.
- Implement sampling design:
- Choose the most appropriate sampling design according to the study question and the available information;
- Determine the sample size needed for reliable estimates, according to the sampling design;
- Use appropriate methods and/or software to take random samples according to the sampling design;
- Compute estimated population parameters and their variance according to the sampling design.
Pedagogical methods:
The methods used during the module will be a combination of interactive lectures and practical case studies using Stata and Excel.