Methods and Techniques in Epidemiology, 2: Free Papers

Thursday, 21 August 2014: 8:30 AM-10:00 AM
Tubughnenq 4 (Dena'ina Center)

Moderators:
John Vena and Lorenzo Richiardi
8:30 AM
Detecting a cohort effect for cancer mortality data using varying coefficient model
Tetsuji Tonda, PhD, Prefectural University of Hiroshima; Kenichi Satoh, PhD, Hiroshima University; Ken-ichi Kamo, PhD, Sapporo Medical University
8:45 AM
The Magnitude and Direction of Potential Bias in Instrumental Variable Analyses when Treatment Effects are Heterogeneous
Sonja A Swanson, MS, Harvard School of Public Health; James Robins, Harvard School of Public Health; Matthew Miller, Harvard School of Public Health; Miguel A Hernan, MD, Harvard School of Public Health
9:00 AM
It is Time to Say “Good bye” to Poisson Regression: Application of Individual Level Data to Nuclear Worker Data
Yutaka Hamaoka, Keio University
9:15 AM
Evaluating Confounding Bias when Designing Meta-analyses of Dietary Risk Factors with Weak Associations: a Systematic Review of Risk Factors for Type 2 Diabetes
Douglas Weed, MD, DLW Consulting Services LLC; Michelle D Althuis, PhD, EpiContext
9:30 AM
Utilizing Harmonization and Common Surveillance Methods to Consolidate Four Cohorts: The Western Alaska Tribal Collaborative for Health (WATCH) Study
Kathryn R Koller, PhD, Alaska Native Tribal Health Consortium; Abbie W Wolfe, MA, Alaska Native Tribal Health Consortium; Jesse S Metzger, PhD, University of Alaska; Melissa A Austin, PhD, University of Washington Seattle; Scarlett E Hopkins, MA, University of Alaska Fairbanks; Cristiane Kaufmann, MD, University of Alaska Fairbankds; Stacy E Jolly, MD, Cleveland Clinic; Sven O Ebbesson, PhD, Norton Sound Health Corporation; Jason G Umans, MD, MedStar Health Research Institute; Barbara V Howard, PhD, MedStar Research Institute; Bert B Boyer, PhD, University of Alaska Fairbanks
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