Biostat Symposium 2013

20th Meeting of Researchers in Biometrics / Statistics

June 24-27, 2013, Cavtat / Dubrovnik, Croatia

BIOSTAT Topics:

  • Data Visualization
  • Space Reduction Methods
  • Prediction and Classification
  • Computationally Intensive Methods
  • Time and Space Modeling, etc.

18th School of Biometrics

Co-organizers
HBMD Croatian Biometric Society
SRCE - University Computing Centre

School of Biometrics Invited Speaker
John E. Vena, University of Georgia, USA

School of Biometrics Topic

Applications of Geographic Information Systems and Geo-spatial Modeling in Environmental Epidemiology

Abstract

The ability of environmental epidemiology to determine the relationships between health
and environmental insults has become exceedingly difficult. The multifactorial nature of disease and the
diversity of the insults, which include biologic, physical, social and cultural factors, combined with
genetic susceptibility, suggest the need to incorporate comprehensive perspectives of multidisciplinary
epidemiologic investigation; utilize tools, such as geographic information systems (GIS) and other
geospatial methods, which can integrate multi-level, spatial, and temporal factors and can help limit the
potential for misclassification of exposure estimates; and to encourage collaborations and creativity in
the field of environmental epidemiology. Examples of applications in cancer epidemiology will be
presented. Statistical challenges to linking spatial pattern of cancer to radiation exposure will be
discussed.

Schedule: Thursday, June 27,  8:45-9:45 and 11:30-13:30

How to Apply for the BIOSTAT 2013

The ITI Conference participants who wish to join the Meeting or School should register using the ITI Conference System. Please indicate your intention to participate in the School of Biometrics, in order to receive the School handouts at the Conference. For the ITI participants, there is no additional fee for the School. Submitted papers or poster abstracts should reach ITI Conference Organizing Committee within ITI deadlines and should follow ITI Instructions to authors. Accepted papers will be presented within the ITI topic: Data Mining, Statistics and Biometrics.