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Summer School on Modern Methods in Biostatistics and Epidemiology

Venue: Castello Brandolini Colomban
Cison di Valmarino
Treviso, Italy
Dates: June 4–17, 2017
Register: biostatepi.org

The 2017 Summer School on Modern Methods in Biostatistics and Epidemiology is organized by professors from the Harvard School of Public Health, Karolinska Institute, and other European academic and public institutions. The school aims to provide introductory and advanced courses in medical statistics and epidemiology, and their application in etiology research and public health.

Course titles

  • Basics of Stata
  • Data Visualization using Stata
  • Multiple Imputation using Stata
  • Tables for epidemiologists using Stata
  • Analysis of prospective studies using Stata
  • Principles of Biostatistics
  • Linear Regression for Medical Research
  • Causal Inference in Epidemiology
  • Principles of Epidemiology
  • Effectiveness Research with Longitudinal Healthcare Databases
  • Logistic Regression for Medical Research
  • Research Methods in Health: Biostatistics
  • Survival analysis
  • Mediation Analysis
  • Longitudinal Data Analysis
  • Meta-analysis using Stata
  • Research Methods in Health: Epidemiology
  • Competing Risks for Survival Analysis
  • Flexible Modeling of Quantitative Predictors
  • Monitoring and evaluation of public health programs

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 health care 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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