Presentations

“Towards a unified methodology of study design and statistical analysis for causal inference in implementation science” Public Health Grand Rounds at CUNY School of Public Health, Nov. 30, 2016, New York City, NY

“Perspective of relative versus absolute effect measures” SERdigital Fall 2016 Semi-Annual Student Novel Methods Web Conference on the Application of Novel Epidemiologic Methods in Student Research. Nov., 16, 2016.

“Towards a unified methodology of study design and statistical analysis for causal inference in implementation science” NIH/NCI Implementation Science Forum, Sept. 22, 2016, Rockville, MD

“Generalized methods-of-moments estimation and inference for the assessment of the validity of multiple measures of the same latent variable” Newest developments and urgent issues in measurement error and latent variable problems, Aug. 14-19, 2016, Banff, Canada

“Workshop: Implementation Science: The what, why, and how” Global Partnerships to Advance NCD Research within the Agenda of the Sustainable Development Goals, Aug. 8-9, 2016, Emory University, Atlanta, GA.

“Estimation and Inference for the Incremental Cost-Effectiveness Ratio for Censored Survival Data” 2016 Joint Statisical meeting, July 30-Aug. 4, 2016, Chicago, IL

“The Missing Covariate Indicator Method is Nearly Valid Almost Always” 2016 Epidemiology Congress of the Americas, June 21-24, 2016, Miami, FL

“Overview Lecture: Measurement Error” Statistical Methods and Analysis of Environmental Health Data Workshop, May 30-June 3, 2016, Mumbai, India.

Panelist, “Developing and testing HIV prevention interventions” NIAID / NIMH Simulation Science for HIV Research, Apr. 26, 2016, Rockville, MD

“Generalized methods-of-moments estimation and inference for the assessment of multiple imperfect measures of diet and physical activity in validation studies” Measurement Error and Complex Data Workshop, April 21-23, 2016, Texas A&M University, College Station, TX

“Towards a unified methodology of study design and statistical analysis for causal inference in implementation science” April 18, 2016, UC Berkley Biostatistics Seminar Series

“Towards a unified methodology of study design and statistical analysis for causal inference in implementation science” April 13, 2016, University of California, San Francisco

“The Missing Covariate Indicator Method is Nearly Valid Almost Always” CANSSI Workshop 2016 – SFU, April 4-6, 2016, Simon Fraser University, BC, Canada

“Estimation and inference for the incremental cost-effectiveness ratio for censored survival data” ENAR 2016 Spring Meeting, March 6-9, 2016, Austin, Texas

“Towards a unified methodology of study design and statistical analysis for causal inference in implementation science”, Columbia University Mailman School of Public Health, Feb. 10, 2016

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.