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Statistics in Epidemiology Section Details JSM Program

1 June 2013 117 views No Comment

The Statistics in Epidemiology (SIE) Section is pleased to serve as primary sponsor for the following eight invited sessions, eight topic-contributed sessions, 18 contributed sessions, five roundtable discussions, and one short course at this year’s Joint Statistical Meetings in Montréal, Québec:

Short Course

Causal Inference and Its Application in Health Sciences
August 6, 8:30 a.m. – 5:00 p.m.
Instructors: Miguel A. Hernán, Harvard School of Public Health; Dylan Small, University of Pennsylvania Wharton School
The first half of this short course presents a framework for causal inference from observational studies and recent methodological developments, with an emphasis on complex longitudinal data. The second half focuses on instrumental variable methods for causal inference in clinical trials and observational studies. Software will be discussed and real comparative effectiveness studies will be used for illustration.

Invited Sessions

Data Integration: Combining Multiple Data Sources to Gain Statistical Efficiency
August 4, 2:00 p.m. – 3:50 p.m.
Organizer and Chair: Jeanine Houwing-Duistermaat, Leiden University Medical Center
Speakers: Qihua Tan, University of Southern Denmark; Roula Tsonaka, Leiden University Medical Center; Jinbo Chen, University of Pennsylvania School of Medicine; Joseph Beyene, McMaster University

New Techniques for Big High-Dimensional Data
August 4, 4:00 p.m. – 5:50 p.m.
Organizer and Chair: Yichao Wu, North Carolina State University
Speakers: Yufeng Liu, The University of North Carolina; Sanat K. Sarkar, Temple University; Hao Helen Zhang, University of Arizona; Harrison Zhou, Yale University

Mendelian Randomization Methods for Causal Inference
August 5, 10:30 a.m. – 12:20 p.m.
Organizer and Chair: Dylan S. Small, University of Pennsylvania
Speakers: James Dai, Fred Hutchinson Cancer Research Center; Tyler J. VanderWeele, Harvard School of Public Health; Vanessa Didelez, Bristol University; Nancy Zhang, University of Pennsylvania

Causal Inference in Observational Studies with Time-Varying Treatments
August 5, 2:00 p.m. – 3:50 p.m.
Organizer and Chair: Yun Li, University of Michigan
Speakers: Erica E.M. Moodie, McGill University; David Michael Vock, University of Minnesota; Douglas Earl Schaubel, University of Michigan; James Robins, Harvard School of Public Health

Biased Epidemiological Study Designs: Opportunities and Challenges
August 6, 2:00 p.m. – 3:50 p.m.
Organizer and Chair: Jonathan S. Schildcrout, Vanderbilt University
Speakers: John Neuhaus, University of California at San Francisco; Paul J. Rathouz, University of Wisconsin School of Medicine and Public Health; Bhramar Mukherjee, University of Michigan; Patrick Heagerty, University of Washington

Statistical Methods for High-Dimensional Sequence Data
August 7, 2:00 p.m. – 3:50 p.m.
Organizer and Chair: Iuliana Ionita-Laza, Columbia University
Speakers: Alkes L. Price, Harvard School of Public Health; Lisa Joanna Strug, The Hospital for Sick Children and University of Toronto; Dan Liviu Nicolae, The University of Chicago; Xihong Lin, Harvard School of Public Health; Wei Pan, University of Minnesota

Recent Work in Causal Inference with Longitudinal Cohort Studies of HIV-Infected Patients
August 8, 8:30 a.m. – 10:20 a.m.
Organizer and Chair: Jessica G. Young, Harvard School of Public Health
Speakers: Hana Lee, The University of North Carolina at Chapel Hill; Bryan E. Shepherd, Vanderbilt University; David A. Stephens, McGill University

Estimating the Heritability of Complex Diseases: Recent Developments
August 8, 10:30 a.m. – 12:20 p.m.
Organizer: Malka Gorfine, Technion – Israel Institute of Technology
Chair: Tanya Garcia, School of Rural Public Health
Speakers: Thomas Scheike, University of Copenhagen; Malka Gorfine, Technion – Israel Institute of Technology; Or Zuk, The University of Chicago; Jian Yang, The University of Queensland

Topic-Contributed Sessions

Statistical Issues in Assessing Performance of Diagnostic Devices
August 4, 2:00 p.m. – 3:50 p.m.
Organizer: Lakshmi Vishnuvajjala, FDA/CDRH

Recent Developments in Statistical Adjustment for Measurement Error/Misclassification
August 5, 8:30 a.m. – 10:20 a.m.
Organizer: Yan Ma, Cornell University

Spatial Uncertainty in Public Health Problems
August 6, 8:30 a.m. – 10:20 a.m.
Organizer: Li Zhu, National Cancer Institute

Fresh Perspectives on Causal Inference
August 6, 10:30 a.m. – 12:20 p.m.
Organizer: Susan Gruber, Harvard School of Public Health

Advances in G-estimation of Structural Nested Models and Structural Equation Models
August 6, 2:00 p.m. – 3:50 p.m.
Organizer: Alisa J. Stephens, University of Pennsylvania

Applications of Random Effects Linear Models to Personalized Medicine
August 7, 8:30 a.m. – 10:20 a.m.
Organizer: Francisco J. Diaz, University of Kansas Medical Center

Causal Inference: Recent Advances
August 7, 10:30 a.m. – 12:20 p.m.
Organizer: Fan Yang, University of Pennsylvania

Methods for Assessing Environmental Factors on Reproductive Outcomes
August 8, 10:30 a.m. – 12:20 p.m.
Organizer: Alexander C. McLain, University of South Carolina

Contributed Sessions

  • Statistics in Spatial and Environmental Epidemiology
  • Statistical Analysis with Biomarkers and Genetics
  • New Developments in Disease Prediction
  • Recent Advances in Categorical and Survival Data Analysis
  • Analytic Challenges in Epidemiological Studies and Public Health
  • Genetic Epidemiology and Sequencing Data Analysis
  • New Methods and Applications to Cancer and Psychiatric Research
  • Statistics in Genetic Epidemiology
  • New Methods for Missing Data Analysis
  • Methods and Applications in Diagnostic Tests
  • Propensity Score and Sensitivity Analysis in Observational Studies
  • Causal Methods and Applications in Variable Selection, Genetics, Mediation, and Survival Analysis
  • Developments in Modeling Infectious Diseases
  • Statistical Challenges with Measurement, Complex Design, and Missing Data
  • Developments in Genetic Association Studies
  • Methods and Applications in Survival Data Analysis
  • Methods and Applications in Modeling Infectious Diseases
  • Meta-Analysis and Clustered Data Analysis

Roundtable Discussions

Challenges and Strategies for Analysis of Complex Survey Data When Statistical, Methodology, and Software Package Are Underdeveloped, led by Yan Ma of Weill Medical College
August 5, 7:00 a.m. – 8:15 a.m.

Dissemination of Novel Quantitative Methods, led by Paul Nietert of the Medical University of South Carolina
August 5, 12:30 p.m. – 1:50 p.m.

Development and Application of Statistical Methods in the International Tobacco Control Four-Country Survey, led by Mary E. Thompson of the University of Waterloo, Canada
August 6, 7:00 a.m. – 8:15 a.m.

Bayesian Disease Mapping: Opportunities, Challenges, and New Frontiers in an Information- and Data-Rich Era, led by Ying MacNab of the University of British Columbia
August 6, 12:30 p.m. – 1:50 p.m.

Nursing Home Research as a Challenge and Opportunity for Gerontologic Biostatisticians, led by Terrence Murphy and Peter Van Ness of Yale University
August 7, 7:00 a.m. – 8:15 a.m.

The section also encourages members to attend this year’s awards reception, where the recipient of the Nathan Mantel Award for Lifetime Contributions in Statistics in Epidemiology will be announced with the winners of the young investigator awards.

Visit the JSM 2013 website for more information or to register for a short course.

If you have ideas for invited session topics for next year’s JSM in Boston, Massachusetts, send your proposals to Madhuchhanda Mazumdar, at mam2073@med.cornell.edu.

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