Data harmonization across large consortia: analytic challenges Novel Approaches and Challenges to Data Harmonization Workshop, Epidemiology and Genomics Research Program (EGRP), NCI’s Division of Cancer Control and Population Sciences, October 2014
Methods to correct measure of effect for bias due to exposure measurement Error International Society for Environmental Epidemiology, Seattle, WA, August 2014
A fast, valid and powerful new test for E x GWAS interaction, with measurement error in E Joint Statistical Meetings, Boston, MA, August 2014
How to use data to get the right answer University of California, Davis, Graduate Group in Epidemiology seminar series, Davis, CA, May 2014
The role of adjusting for measurement error and misclassification in causal inference; implementation science; big data, ‘omics and the study of disease heterogeneity Cutter Symposium, Boston, MA, November 2013
Methods to Correct Measures of Effect for Bias due to Exposure Measurement Error Statistical Society of Canada Introductory Overview Lecture, Edmonton, Alberta, May 2013
Designing Longitudinal Studies – How many subjects? How many measurements? JSM Introductory Overview Lecture, Washington, DC, 2009
For a complete list, please refer to Dr. Spiegelman’s CV.