Overview
Join us for our next COPSS-NISS Leadership Webinar:
Leadership in Esametry: Within-Individual Statistics of N-of-1 Trials and Single-Case Designs, featuring Dr. Christopher H. Schmid, Professor at Brown University, and Dr. Mariola Moeyaert, Associate Professor at the University at Albany, State University of New York, moderated by Dr. Eric J. Daza of
Stats-of-1. This webinar will feature leaders in a new field that Daza calls "
esametry" (pronounced “ee-sa-met-ree”), "the application of statistics to a single person, individual, or unit" (
Daza et al, 2025). Many quantitative idiographic (i.e., individualized/personalized) approaches (
Shoda et al, 2013) are developed in a wide variety of fields with differing areas of application, in separate academic, scientific, and clinical traditions. Modern digital health technologies have further expanded this set of disparate fields. Dr. Daza started a newsletter and podcast called Stats-of-1 in 2020 to unite these disjointed quantitative communities. He coined the term “esametry” to describe this unified discipline, a term inspired by “idiography” and “biometry”, and derived from “isa” (pronounced “
ee-SA”), the Tagalog Filipino word for “one”. N-of-1 trials and single-case designs are central to esametry. They are well-established approaches for designing studies and analyzing data to understand the unique patterns of each person, before any aggregation (if any) to group averages. The latter is where the majority of statistical and AI approaches start—even those touted as "individualized" or "personalized".
Event Flyer Coming Soon!
Speakers
Christopher H. Schmid, PhD, Professor of Biostatistics and founding member of the Center for Evidence Synthesis in Health, School of Public Health, Brown University
Mariola Moeyaert, PhD, Associate Professor, Department of Educational & Counseling Psychology, School of Education, University at Albany State University of New York
Moderator
Eric J. Daza, DrPH, MPS (he/him/
siya), Founder and Chief Editor at
Stats-of-1, Associate Director (Principal Biostatistician and Data Scientist) at Boehringer Ingelheim
About the Speakers
Christopher H. Schmid, PhD is Professor of Biostatistics and founding member of the Center for Evidence Synthesis in Health in the Brown School of Public Health. He is Fellow of the American Statistical Association (ASA), elected member of the Society for Research Synthesis Methodology, Founding Editor of the journal Research Synthesis Methods, statistical editor for the American Journal of Kidney Diseases and former Chair of the Section on Health Policy Statistics at ASA. He directs the Biostatistics, Epidemiology and Research Design (BERD), Core of Advance-RI Clinical and Translational Research and the Evidence Synthesis Academy, an AHRQ-funded training program in evidence synthesis focusing on comparative effectiveness and patient-centered research directed at mid-career professionals and users of healthcare evidence. His research focuses on methods and applications for meta-analysis, particularly Bayesian methods and software, on predictive models derived from combining data from different sources and on clinical trials, particularly N-of-1 trials, single person multiple crossover studies. He has published extensively on meta-regression and multivariate methods, including network meta-analysis and combining N-of-1 studies. Dr. Schmid also has coauthored a large number of applications in collaboration with medical and public health scientists. He has published in all the leading general medical journals and in many top subspecialty journals as well. Dr. Schmid helped develop Institute of Medicine national standards for systematic reviews. Before moving to Brown, Dr. Schmid was on the faculty of Tufts University School of Medicine from 1992-2012. He served as Director of the Biostatistics Research Center at Tufts Medical Center and as Associate Director of the Clinical and Translational Science program. He directed the Brown Biostatistics Masters Program from 2012-2016. Dr. Schmid holds a PhD in Statistics from Harvard University (1991) and a BA in Mathematics from Haverford College (1983). He consults extensively with government, academia and industry and has served on many data safety monitoring and grant review committees including most recently the AHRQ Health Care Research Training Study Section, the FDA Drug Safety and Risk Management Advisory Committee and the Scientific Advisory Committee of the Cochrane Collaboration. See full profile here: Schmid, Christopher
Dr. Mariola Moeyaert obtained her PhD in Educational Statistics in 2014 from the University of Leuven (Belgium) and worked as a Postdoctoral fellow at the Center of Advanced Study in Education at the City University of New York. She joined the faculty of Educational Psychology and Methodology in the Fall of 2015. Her major research interests and publications are in the field of multilevel analysis, meta-analysis, large-scale data analysis, and interrupted time series. She has (co)authored approximately 82 international publications, for instance in Psychological Methods, Multivariate Behavior Research, Behavior Research Methods, Journal of School Psychology, and School Psychology Quarterly, reporting about developments in Educational research methodology (including several extensive simulation studies) and about applications of statistical models to educational data. Dr. Moeyaert obtained the 2016 Anastasi Dissertation Award Division 5 of the American Psychological Association (innovative quantitative research methods). She is currently conducting research as co-PI on a grant awarded by the Institute of Education Sciences (Grant # R305D240044: “Methods for Investigating Causal Mechanisms in Single-Case Experimental Designs”) and she completed two other IES funded grants as PI (Grant # R305D190022: “Assessing Generalizability and Variability of Single-Case Design Effect Sizes Using Multilevel Modeling Including Moderators”) and co-PI (Grant # R305D15000703: ‘Multilevel modeling of single-subject experimental data: Handling data and design complexities’). See full profile here: Mariola Moeyaert | University at Albany
About the Moderator
Dr. Eric J. Daza is the Founder and Chief Editor of
Stats-of-1, a health innovation
newsletter/
podcast on n-of-1 trials, single-case designs, switchback experiments, and personal AI for digital health/medicine. For this work, he was recognized by both
Forbes and
Fortune magazines, and won a
COPSS Emerging Leader Award. Daza also invented a
patent-pending method using his
n-of-1 time series causal inference framework. He works as an Associate Director and Principal Biostatistician / Data Scientist at
Boehringer Ingelheim. As a privileged middle-class Brown Asian immigrant,
Dr. Daza earned his
BA in Neurobiology / Cognitive Studies and
MPS in Applied Statistics at Cornell University, and his
DrPH in Biostatistics at UNC Chapel Hill. He completed
postdoctoral training in behavior change and community health at Stanford University. Daza is a neurodivergent
inclusive leader at the American Statistical Association, Jesuit-educated
Filipino American immigrant, and trained concert pianist,
musician, and
composer.
COPSS (Committee of the Presidents of Statistical Societies) and NISS have come together to organize and host a new webinar series focusing on leadership in statistics and data science. Plan to attend these webinars every month during the academic year! Visit the COPSS-NISS Leadership Series Page for previous webinars.
The COPSS-NISS Leadership Webinar Series is co-organized by the Committee of the Presidents of Statistical Societies (COPSS) Emerging Leaders in Statistics and the National Institute of Statistical Sciences (NISS). The purpose of the webinar series is to promote leadership skills for members of the statistical societies at any stage in their careers. The series features conversations with leaders throughout the discipline, including leaders from major academic and government institutions, and companies. Invited speakers share their leadership stories and answer questions about their experiences. Each webinar is moderated by a member of the COPSS Emerging Leaders in Statistics program.
Access the Full COPSS-NISS Leadership Webinar Series YouTube Playlist | COPSS-NISS Leadership Webinar Series: https://www.youtube.com/playlist?list=PLoRtupvDJTjvFukMcO6NfDr0GvxDsIj81
