Agenda:

Advances in Statistical Methods and Applications 

June 28th from 9:00 a.m. – 4:40 p.m.

All times are in Eastern Daylight Time (EDT)

9:00 a.m. – 9:30 a.m.

Welcome, Introduction, and Vision for the Field

Josh Gordon, M.D., Ph.D. Director – National Institute of Mental Health

Abera Wouhib, Ph.D. – National Institute of Mental Health

Session I: Recent Advances in Statistical Methods for Mental Health Services Research

9:30 a.m. – 10:50 a.m.

Chair: Elizabeth Stuart, Ph.D. – John Hopkins University

Data Science as the engine for a learning health care service system for first episode psychosis in coordinated specialty care
Melanie Wall, Ph.D. – Columbia University


Machine Learning Approaches for Optimizing Treatment Strategies for Mental Disorders
Yuanjia Wang, Ph.D. – Columbia University

Employing Social Media to Improve Mental Health: Harnessing the Potentials and Avoiding the Pitfalls
Munmun De Choudhury, Ph.D. – Georgia Tech


Discussant: Benjamin Lê Cook, Ph.D. – Harvard Medical School

10:50 am – 11:00 am

Break

Session II: Statistical Methods for Generating Reliable and Reproducible Findings from Neuroimaging Data

11:00 a.m. – 12:20 p.m.

Chair: Ying Guo, Ph.D. — Emory University

Veridical Data Science for Biomedical Research with an Application to DeepTune
for Characterizing V4 Neurons
Bin Yu, PhD — UC Berkeley

The Impact of Methodological Variation in fMRI Inferences
Thomas Nichols, Ph.D. — University of Oxford


The role of statistics in large complex neuroimaging studies
Martin Lindquist, Ph.D. — Johns Hopkins University

Discussant: Todd Ogden, Ph.D. — Columbia University

12:20 p.m. – 1:00 p.m.

Lunch Break

Session III: Statistical Testing and Power Analysis for High Dimensional Neuroimaging Mental Health Data

1:00 p.m. – 2:20 p.m.

Chair: Dulal K. Bhaumik, Ph.D. — University of Illinois at Chicago


Power Analysis for High Dimensional Neuroimaging Studies
Dulal K. Bhaumik, Ph.D. — University of Illinois at Chicago

A semi-parametric approach to solve the multiple comparison problem in analyzing functional MRI data
Rajesh R Nandy, Ph.D. — University of North Texas

Adjusting for confounders in cross-correlation analysis of resting state networks
Deepak N Ayyala, Ph.D. — Augusta University

Discussants/Panel Members:
Olu Ajilore, MD, PhD — University of Illinois at Chicago
Nicole Lazar, PhD — Penn State University

2:20 p.m. – 2:30 p.m.

Break

Session IV: Recent Statistical Developments in Imaging Genetics

2:30 p.m. – 3:50 p.m.

Chair: Wes Thompson, Ph.D. — University of California at San Diego (UCSD)


Estimating the fraction of variance of cognitive traits explained by high-dimensional genetic and neuroimaging measures
Armin Schwartzman, Ph.D. — University of California at San Diego (UCSD)

Efficient vertexwise/voxelwise imaging GWAS for large scale heterogeneous population imaging data and enabling down-stream multivariate inference.
Chun Fan, Ph.D. — University of California at San Diego (UCSD)

A platform for imaging genetic study of brain aging
Kevin Anderson, Ph.D. — Harvard University

Discussant: Thomas Nichols, Ph.D. — University of Oxford

3:50 p.m. – 4:00 p.m.

Break

Session V: Panel Discussion on the Roles of Statistical Methods to Improving Mental Health Studies

4:00 p.m. – 4:40 p.m.

Chair: Sarah Hollingsworth “Holly” Lisanby, M.D., — National Institutes of Mental Health (NIMH)

Dulal K. Bhaumik, Ph.D. — University of Illinois at Chicago
Ying Guo, Ph.D. — Emory University
Elizabeth Stuart, Ph.D. — Johns Hopkins University
Wes Thompson, Ph.D. — University of California at San Diego (UCSD)