This course is concerned primarily with data analysis in the field of public health, looking at how data can be harnessed to protect and improve the health of individual communities and entire populations. The populations considered can be as small as a local neighbourhood or as large as an entire country. The course covers data analysis and experimental design using the R Project free software environment, examining how it can be applied to public health.This course covers the following areas of data analysis:Introduction to experimental design1. Data and databases1.1. Experimental data and processing1.2. Databases1.3. Data structure1.4. Large data files2. Design of factors2.2. Decomposition of variability2.3. Parameter estimation2.4. ANOVA table2.5. Multiple comparisons2.6. Kruskal-Wallis2.7. Robustness of design2.8. Designing random factor effects3. Design of two-factor crosses3.1. Fixed, random and mixed models3.2. Parameter estimation3.3. ANOVA table3.4. Multiple comparisons3.5. Generalization to k-factor3.6. 2k designs4. Designs with nested factors4.1. Designs with nested and crossed factors5. Multiple regressions5.1. Parameter estimation5.2. Correlation coefficients6. Multivariate data analysis6.1. Principal component analysis6.2. Discriminant analysis6.3. MDS6.4. Cluster analysis or classification7. Survival analysisThe course will combine theory classes with the discussion of real examples and group exercises. This course forms part of a group of three complementary courses, together with Evaluation of Public Programmes and Policies, and Public Health: Updating Methods and Topics.

Course leader
Antonio Monleon Getino . Associate Professor of Statistics. Faculty of Biology. Universitat de BarcelonaJaume Canela-Soler . Tenure Professor of Public Health. Faculty of Medicine. Universitat de Barcelona

Target group
International Stidents and professionals interested in Public Health related issues and Data Analysis of statistics

Course aim
The course covers data analysis and experimental design using the R Project free software environment, examining how it can be applied to public health.

Credits info
2 ECTS 20 hours

Fee info
EUR 400: Vat included.Registration can be completed online or in person. Registration opens on 9 February and closes seven days before a course starts. The registration office opening hours are Monday-Friday 10 am-2 pm and 4 pm-8 pm at the Jeroni Granell building (Gran Via de les Corts Catalanes, 582). EUR 360: Early bird registration discount*We offer reduced prices for University of Barcelona Students, Special Partners (even fee waiver), International Networks where the University of Barcelona belongs, and early bird registration discount.

Scholarships
The University of Barcelona has agreements with other Universities to waive fees of these courses, please ask your institution.

University of Barcelona
Address: Gran Via de les Corts catalanes 585 Barcelona- Spain
Postal code: 08007
City: Barcelona
Country: Spain
Website: www.ub.edu/international
E-mail: summerschool@ub.edu
Phone: +3493 403 40 22