Summer School on Modern Methods in Biostatistics and Epidemiology
| Venue: |
Castello Brandolini Colomban
Cison di Valmarino
Treviso, Italy |
| Dates: |
June 3–23, 2012 |
The 2012 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.
Course titles
- Introduction to Stata
- Meta-analysis Using Stata
- Tables for Epidemiologists
- Biostatistics I
- Biostatistics II
- Applied linear regression
- Applied quantile regression
- Principles of epidemiology
- Applied logistic regression
- Missing data in observational and randomized studies
- Introduction to Stata
- Flexible dose–response analysis with Stata
- Multiple imputation of missing data with Stata
- Survival analysis
- Evidence-based public health
- Introduction to Stata for survival analysis
- Causal inference
- 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
health care planning and evaluation should attend. 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 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
http://biostatepi.org.
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