The Centers for Disease Control and Prevention (CDC)* Statistical Advisory Group (SAG) in partnership with the ASA is sponsoring the:
13th Biennial Symposium on Statistical Methods
May 24th - 25th 2011
Registration closed on May 9th. Registration will be available onsite at the Symposium. No more spaces are available for the short course.
Holiday Inn Conference Center — Decatur
130 Clairemont Avenue
Decatur, Georgia 30030
Phone: (404) 371–0204
The theme of the 2011 Symposium is Statistical Applications Using Massive and Emerging Data in Public Health. The symposium will offer invited and oral presentations, poster sessions and a short course.
Session topics include:
- Analytical innovations in public health surveillance and medical screening
- Use of Centers for Medicare & Medicaid Services (CMS) data for epidemiologic studies or public health research and surveillance
- Epidemiologic studies and public health research using data from complex sample surveys
- Experiences with secondary analysis of existing privately held, restricted or otherwise non-public release data sets in epidemiologic studies and public health research: methodological issues and success stories
- Spatial and temporal data analyses for public health surveillance
- Analyses of text, image or qualitative data
- Risk analysis, prediction and decision science
- Techniques for assessing and monitoring public health practice, preparedness and emergency or disaster response
- Synthesis, development, selection and assessment of statistical models for numeric and non-numeric data: meta-analysis, integrated systematic review, multi-center data analyses and applications of data-mining
- Biometric applications to public health
- Methodological issues and applications of multiple data sources for risk prediction
- Genomic studies and health effects
- Simulation models for predicting near, mid or long-term disease outcomes during the course of an outbreak
A full day short course will be offered on May 23rd, 2011 in conjunction with the Symposium.
Statistical Analysis of Network Data by Eric Kolaczyk, Professor and Director of the Program in Statistics, Department of Mathematics and Statistics, Boston University. The goal of this course is to present an overview of the foundations common to the statistical analysis of network data across the disciplines, from a statistical perspective, with an eye towards topics with particular relevance to disease control. Special attention will be given to topics pertaining to network mapping, network sampling, and network modeling, and to dynamics of network processes.
Who should participate: This venue provides statisticians, social and behavioral scientists, epidemiologists, economists, policy analysts, and other health researchers a unique opportunity to gain knowledge and stimulate further methods development the use of large datasets or emerging data to protect and promote public health.
For more information, please contact: Theresa Ann Sipe at (404)498-0980 or firstname.lastname@example.org
*Includes the Agency for Toxic Substances and Disease Registry (ATSDR)