PRELIMINARY AGENDA
Plenary Speakers
Stefano Bertozzi, M.D., Ph.D., Instituto Nacional de Salud Pública, Cuernavaca, Mexico
Ross Prentice, Ph.D., Professor, Biostatistics, Fred Hutchison Cancer Research Center, University of Washington - Seattle
Session I (Chair: Dr. Steve Self)
- Modeling at the community level
- Defining models for the dynamics of infectious agents propagated within sexual networks and the integration of these models into study design and statistical inference
- Estimation of population and individual effects in community-based vaccine studies
- The role of biological cofactors in HIV spread: Modeling the HIV and malaria interaction
- Genetic/genomic analysis in HIV research
- Methodology of variable selection and estimation with high dimensional data
- Mapping human genetic determinants of susceptibility and response to HIV infection
- Impact of phylogenetic relationships on the assessment of genetic associations
- Viral population estimation using pyrosequencing
Session II (Chair: Dr. Victor DeGruttola)
- Causal inference methods as applied to statistical problems in AIDS research
- Relating HIV viral genotype to in-vitro phenotypic and clinical responses to treatment in an observational setting
- Statistical learning of realistic individualized treatment rules from observational data
- Determining clinical strategies for switching treatment of HIV-infected patients on non-suppressive therapy
- Treatment strategies and evaluation of surrogate outcomes methodology
- Development of methods for estimating optimal treatment strategy from observational and randomized trial data
- Evaluation of surrogates using a potential outcomes framework, with application to immunological surrogate endpoints in a vaccine efficacy trial
Poster Session
- Abstracts submitted by workshop participants
Session III (Chair: Dr. Stephen Gange)
- Pooling data from observational studies and clinical trials
- Risk prediction models
- Heterogeneity across datasets/studies
- Communicating epidemiologic research
- Using epidemiology data to inform policy
- Standards in epidemiology research and reporting
Session IV: (Moderators TBD)
- Concurrent roundtable discussions
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