Aims of the workshop

• To introduce participants to statistical designs and models used in epidemiology, their use in practice and their interpretation
• To demonstrate the use of R for carrying out statistical analysis of epidemiological data

Content

• Concepts of interest in Epidemiology
• Introduction to epidemiological designs
• Analysis of binary, event follow-up and longitudinal data
• Logistic regression for cohort and case-control data
• Poisson regression
• Sample size consideration in Epidemiology with emphasis on simulation-based approach
• Statistical computation using R

Faculty

• Kari Auranen, PhD (Biometry)
  • Senior scientist, National Institute for Health and Welfare (THL), Finland
  • Adjunct Professor of Biometry, University of Helsinki, Finland
• Jukka Jokinen, PhD (Biometry)
  • Head of the Vaccines Research Unit, National Institute for Health and Welfare (THL), Finland
• Sangita Kulathinal, PhD (Statistics)
  • Senior scientist, The Indic Society for Education and Development (INSEED), Nashik
  • Adjunct Professor of Statistics, University of Helsinki, Finland
  • Adjunct Professor of Biometry, University of Tampere, Finland
  • Adjunct faculty, Department of Statistics, Manipal University, India
• Bijoy Joseph, PhD (Geology) (Course co-ordinator)
  • Senior researcher, The Indic Society for Education and Development (INSEED), Nashik
  • Adjunct faculty, Department of Statistics, Manipal University, India

Host institute

Central Research Services,
Charutar Arogya Mandal,
Anand, Gujarat
http://charutarhealth.org/

Organisers

The Indic Society for Education and Development (INSEED)
1, Swami Enterprises Complex,
Tigrania road, Tapovan Bridge,
Nashik - 422 011, Maharashtra, INDIA.
http://www.inseed.org/

Central Research Services
Charutar Arogya Mandal,
Anand, Gujarat
http://charutarhealth.org/

Department of Statistics
Sardar Patel University,
Vallabh Vidyanagar, Gujarat
http://www.spuvvn.edu/pgd/statistics/index.html