2015 IMS-China International Conference, Kunming, China, July 2015

2015 ICSA China Statistics Conference, Fudan University, Shanghai, China, July 2015

Statistical approaches in implementation science, Rollins School of Public Health – Emory University, Atlanta, GA, Feb. 11, 2015

Methods to correct measure of effect for bias due to exposure measurement error, NIH/NHLBI Seminar, Bethesda, MD, December, 2014

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

Methods for Summarizing the Evidence: Meta-Analyses and Pooled Analyses

For a complete list, please refer to Dr. Spiegelman’s CV.