Workshop: The relevance of sampling design in epidemiological and public health research
The aim of this workshop is to provide an overview of common sampling practices in the fields of epidemiology and public health, with particular focus on situations where limited resources are available, such as WHO’s Tuberculosis prevalence surveys.
Classic designs (e.g., stratified sampling, cluster sampling), and more modern approaches (e.g., adaptive cluster sampling, adaptive geostatistical designs) will be presented and compared.
Illustrative examples using both simulated and real data from epidemiological/public health-related undertakings will be presented. The presentation slides and the R code used to produce the examples will be made available on http://www.stats4life.se/workshop.
Basic knowledge of statistical inference is recommended; a previous knowledge of sampling theory is desirable, but not required.
Federico Andreis, Ph.D., Postdoctoral fellow in Statistics at the Department of Policy Analysis and Public Management of Bocconi University (Milano), and affiliated to the Carlo F. Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University.
Registration and contact
Register for the workshop at https://goo.gl/SudjQM.
For cancellation or questions about the workshop, please contact Nicola Orsini at email@example.comContact person: Nicola Orsini