11 June 2016
Applied Linear Regression
The course introduces students to the practice and application of regression modeling. Through the use of Stata®, students will learn how to fit a regression, estimate, and test regression coefficients. Particular emphasis will be placed on the interpretation of the regression coefficients of continuous and categorical predictors. Analysis of variance models and their correspondence with regression models will also be covered together with procedures and issues in model selection, including confounding and interaction. Model building, goodness of fit, residual analysis, and appropriate regression diagnostics will be discussed.
Rino Bellocco (Karolinska Institutet and University of Milano-Bicocca)
Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation. They will acquire familiarity with epidemiological and biostatistical principles and techniques and with the computational tools needed to solve practical problems.
Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest, so they can more effectively address problems in health research. They will gain knowledge in modern, advanced methods useful for health professionals engaged in clinical practice, research and teaching.
To teach students how to apply and use linear regression models with continuous and categorical predictors.
It is possible to gain credits for the Summer School’s courses, but the decision is always made by the student’s own institution.
EUR 1400: For University students: Registration before February 14, 2016 €1,200. After February 14, 2016 €1,400.
EUR 1550: General: Registration before February 14, 2016 €1,350. After February 14, 2016 €1,550.