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Summer School on Modern Methods in Biostatistics and Epidemiology

Venue: Castello Brandolini Colomban
Cison di Valmarino
Treviso, Italy
Dates: 4–17 June 2023
  Register

We are pleased to announce the 2023 Summer School on Modern Methods in Biostatistics and Epidemiology.

The Summer School aims to provide introductory and advanced courses in medical statistics and epidemiology and their application to clinical and etiology research and public health. The faculty come from the Harvard T.H. Chan School of Public Health, Karolinska Institutet, Bocconi University, University of Milano-Bicocca, and other European universities.

Registration is now open, and the deadline for early registration is 29 January 2023. Please visit the school’s homepage for more information on the courses and for details on registration.

Course titles

  • Basics of Stata
  • Meta-analysis using Stata
  • Data visualization with Stata
  • Epi tables using Stata
  • Multiple imputation to handle missing data
  • Principles of biostatistics
  • Linear regression for medical research
  • Causal inference in epidemiology
  • Principles of epidemiology
  • Media analytics and population surveys for public policies
  • Practical introduction to propensity score
  • Analysis of prospective studies using Stata
  • Logistic regression for medical research
  • Survival analysis
  • Mediation analysis
  • Longitudinal data analysis
  • Research methods in health: Biostatistics
  • Research methods in health: Epidemiology
  • Joint modeling of longitudinal and survival data
  • Applied epidemiologic methods: Integrating diet/lifestyle and omics in the era of precision nutrition
  • Statistical methods for population-based cancer survival analysis

Who should attend

  • Physicians
  • Clinicians
  • Public health professionals
  • Researchers
  • Students in biostatistics and epidemiology

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 in epidemiology applied to healthcare planning and evaluation should attend. They will become familiar with epidemiological and biostatistical principles and techniques and with the computational tools needed to solve practical problems.

Students in biostatistics and epidemiology and researchers 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 should attend, 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.

For more information or to register, visit biostatepi.org.

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