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Symposium on emerging statistical issues in public health for the 21st century - meeting summary and closing results.

Sieber WK
Stat Med 2001 May; 20(9-10):1559-1561
Presentations during this symposium have dealt with many of the diverse challenges we face, both current ones and emerging ones. We have heard about confidentiality and disclosure limitations, of advances in genetic research and how ethical considerations have led to some changes in informed consent and the types of issues we must address in performing studies. We have heard about methods to deal with the media - to use candour to develop credibility and also of the need to always be prepared when dealing with the media. We have heard about the effect of recent legislation on research and public health statistics, of the link between survey data analysis and clinical trials, and of models that may be appropriate for dealing with group randomized trials as compared with standard clinical trials. We have also heard of the importance of mechanistic modelling and the link between toxicology and epidemiology and about innovative graphical and mapping designs for data analysis and presentation. We have been reminded of the link between the actual world and a counterfactual world where different considerations of medical data, economic data, and psychological and social conduct apply - and of how these worlds interrelate and are important in developing our analyses of causal effects and health risks. Symposium presentations have included new approaches to spatio-temporal data analyses, survey methodologies to collect sensitive data, survival analysis, analysis of missing values, longitudinal data analysis, analysis of public health interventions, methods for estimating incident rates and probabilities, as well as discussions of techniques to address such problems as multicollinearity or clustering. Traditional multivariate analyses have been represented as well as more recently developed techniques such as data mining and risk assessment.
Statistical-analysis; Public-health; Surveillance-programs; Disease-prevention; Injury-prevention; Risk-analysis
W. Karl Sieber, National Institute for Occupational Safety and Health, 4476 Columbia Parkway, MS R-4, Cincinnati, Ohio 45226, U.S.A.
Publication Date
Document Type
Conference/Symposia Proceedings
Email Address
Sieber WK; Green TA; Haugh GS; Kresnow MJ; Luman ET; Wilson HG
Fiscal Year
Issue of Publication
NIOSH Division
Source Name
Statistics in Medicine
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division