Teaching Material - 2017 Summer School

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Stata 1 | Stata 2 | Block 1 | Block 2 | Block 3 | Block 4 | Block 5 | Block 6 | Block 7

Stata 1

Basics of Stata® - Benedetta Pongiglione (Institute of Education, University College London, UK)

Analysis of Prospective Studies with Stata® - Long Hong (Bocconi University)

Block 1

Principles of Biostatistics - M. Pagano (Harvard University)

Linear Regression for Medical Research - R. Bellocco (University of Milano-Bicocca and Karolinska Institutet)

Causal Inference in Epidemiology - A. Sjolander (Karolinska Institutet)

Block 2

Principles of Epidemiology - E. Mostofsky (Harvard School of Public Health)

Logistic Regression for Medical Research - D. Wypij (Harvard University)

Survival Analysis - P. Dickman (Karolinska Institutet)

Block 3

Effectiveness Research with Longitudinal Healthcare Databases - S. Schneeweiss & E. Patorno (Harvard School of Public Health)

Stata 2

Basics of Stata® - Federica Gallo (CPO Piemonte)

Tables for epidemiologists using Stata® - A. Discacciati (Karolinska Institutet)

Multiple Imputation using Stata® - N. Orsini (Karolinska Institutet)

Data Visualization with Stata® - G. Capelli (University of Cassino and Southern Lazio)

Block 4

Research Methods in Health: Biostatistics - Marco Bonetti (Bocconi University)

Mediation Analysis - Linda Valeri (Harvard University)

Applied Longitudinal Analysis - G. Fitzmaurice (Harvard University)

Block 5

Research Methods in Health: Epidemiology - M. Mittleman (Harvard School of Public Health)

Competing Risks for Survival Analysis; - N. Jewell (Berkeley Univesity)

Flexible Modeling of Quantitative Predictors - N. Orsini (Karolinska Institutet)

Block 6

Monitoring and Evaluation of Public Health Programs: Systems Approaches and Techniques - M. Pagano & E. Savoia (Harvard University)