EPIET Sampling moduleArchived

Event
21 Jun 2010 - 25 Jun 2010
France
ECDC

Most of the epidemiological studies are carried out on samples of the population. We thus need a sound knowledge of sampling methods, from sample selection to data analysis taking into account the sampling plan.

Most of the epidemiological studies are carried out on samples of the population. We thus need a sound knowledge of sampling methods, from sample selection to data analysis taking into account the sampling plan.

Topics covered by the module are: 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 will allow 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;
    • Know how to find answers adapted to complex cases (specialized software, technical literature);