Education & Training All Online Learning Activities

Edu Training

webinar graphic Presenters include Roland Kushner, Associate Professor of Business at Muhlenberg College, and Sook-Lei Liew, Pilot Project PI at the CLDR, USC Division of Biokinesiology and Physical Therapy, the Keck School of Medicine of USC, Department of Neurology and the USC Viterbi School of Engineering
University of Texas Medical Branch

ICPSR Data Depositors Tell All! (a Q&A session)

What draws people to deposit their data at ICPSR, particularly for the first time? What went on in their heads during their decision-making process? Join us to find out! Recent new depositors will talk about sharing their data with ICPSR, why they chose the institute, and the benefits they have so far received from their decisions. This is a great opportunity to ask the depositor questions about their data-sharing experiences with ICPSR!
photo The UTMB Office of Biostatistics, Clinical & Translational Science Awards (CTSA) and the Center for Large Data Research and Data Sharing in Rehabilitation (CLDR) Present: TRCC (Texas Regional CTSA Consortium) Quantitative Seminar Series - February 21, 2018

The Hope, Hype and Reality of EHR for Research

Gulshan Sharma, MD, MPH, Vice President, Chief Medical & Clinical Innovation Officer; Director, Division of Pulmonary Critical Care & Sleep Medicine; Sealy and Smith Distinguished Chair in Internal Medicine
University of Texas Medical Branch
graphic The Annual Disability Statistics Compendium is a web-based tool that pools disability statistics published by various federal agencies together in one place. When working on legislative and other matters relating to persons with disabilities, the Compendium will make finding and using disability statistics easier.
webinar Finding Disability Related Data: Tools for locating, accessing, and analyzing survey and administrative data
A joint Cornell University and ADDEP Webinar November 13, 2017
Presented by William Erickson, Sarah von Schrader: K. Lisa Yang and Hock E. Tan Institute on Employment and Disability, Cornell University Alison Stroud: Archive of Data on Disability to Enable Policy and Research (ADDEP) Inter-university Consortium for Political and Social Research (ICPSR)
screen capture from webinar Tools for Finding Disability and Rehabilitation Related Data

Research tools for exploring national-survey and administrative data

Secondary datasets such as national surveys and administrative data are valuable resources for testing hypotheses and generating national-level statistics about disability and rehabilitation related-issues. Unfortunately, it can be difficult to identify what datasets are available and what data are most appropriate for addressing a specific research interest.

This presentation introduces two innovative web-based resources designed to help researchers learn:

- What datasets related to disability and rehabilitation are out there?
- What topics are covered in each dataset?
- What are the dataset strengths and limitations?
- How do I access the datasets?
- How to link to the University of Michigan’s Archive of Data on Disability to Enable Policy and Research (ADDEP)

The Rehabilitation Dataset Directory  is a browse-able/searchable database providing an overview, description, sample and other pertinent information for nearly 60 datasets. The Rehabilitation Research Cross-dataset Variable Catalog allows the exploration of variables organized by topics (including disability and health conditions, healthcare, health behaviors and more) simultaneously across 6 major datasets.

CLDR/Cornell Webinar, May 5, 2017 - Presenters: William Erickson and Sarah Von Schrader, K. Lisa Yang and Hock E. Tan Institute on Employment and Disability, Cornell University.

Health and Medical Care Archive (HMCA) The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States.
photo The IMPACT Act and Value -Based Health Care
UTMB Health Policy Dialogue February 23, 2017
Presented by Gerben DeJong, PhD, FACRM
presented by Steven Cramer, MD

Big Data for Rehabilitation: Promises, Pitfalls and Future Potential

ASNR ANNUAL MEETING • NOVEMBER 10 – 11, 2016 • MARRIOTT MISSION VALLEY – SAN DIEGO, CA

Organized by Sook-Lei Liew, PhD, OTR/L & Steven Cramer, MD

A persistent challenge in rehabilitation research is the vast heterogeneity within clinical populations. This inter-individual variability makes it difficult to establish significance and reliably replicate findings of rehabilitation studies across smaller sample sizes. Large, diverse datasets (aka “big data”; e.g., n>1000) have the potential to drive rehabilitation research forward by providing the greater statistical power needed for robustly evaluating clinical hypotheses and validating findings from smaller studies. However, collecting, organizing, and analyzing such large amounts of data comes with a number of limitations and considerations. Here we present current applications of ‘big data’ approaches for rehabilitation research across both retrospective and prospective collections of behavioral, neuroimaging, and clinical outcomes data. In each talk, we provide a balanced approach to this topic, highlighting both the potential of ‘big data’ approaches for driving the rehabilitation field forward, as well as the challenges associated with properly implementing, analyzing and interpreting the results. In doing so, we aim to educate attendees about current methodologies and available tools for conducting big data analyses in rehabilitation. We also hope to provide a tempered, realistic view of the limitations of these approaches and ways to complement this approach with experimental approaches. While several of the applications presented here focus on stroke rehabilitation, we emphasize general methodologies and applications that can be related to many rehabilitation populations. Attendees will not only gain big picture insights into how large datasets can be used to further rehabilitation research, but they will also learn practical knowledge regarding what types of information are contained in various databases, how to access or contribute to them, and how to use these resources for their own questions and purposes.
Speakers: Steven Cramer, MD; Liam Johnson, PhD; Sook-Lei Liew, PhD, OTR/L; Keith Lohse, PhD; Kenneth Ottenbacher, PhD, OTR
# June 29, 2016 CoHSTAR held its first Summer Institute on Health Services Research at Boston University. Register for free access to the archived webcast proceedings.

CoHSTAR is funded by the Foundation for Physical Therapy (FPT). Learn more about how the Foundation for Physical Therapy supports physical therapy research here:http://www.foundation4pt.org/
Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system The Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system was developed to share data across the entire TBI research field and to facilitate collaboration between laboratories, as well as interconnectivity with other informatics platforms.
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Data and Specimen Hub (DASH) NICHD DASH is a centralized resource for researchers to store and access data from NICHD-funded research studies to use for secondary research. It serves as a mechanism for NICHD-funded extramural and intramural investigators to share de-identified research data from studies in accordance with the NIH Data Sharing Policy and the NIH Genomic Data Sharing Policy.
Lowering the Barriers to Data Sharing: ICPSR and bioCADDIE Lowering the Barriers to Data Sharing: ICPSR and bioCADDIE

April 2015 Health Policy Dialogue co-sponsored by the Office of the President and the Office of Health Policy and Legislative Affairs at UTMB. Presented by George Alter, PhD, Professor & Director, ICPSR, University of Michigan.
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Practical Evaluations: Effective Collaborations of Evaluators & Providers

January 2015 Health Policy Dialogue co-sponsored by the Office of the President and the Office of Health Policy and Legislative Affairs at UTMB. Presented by Craig Thornton, PhD, Senior Vice President of Mathematica Policy Research.

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Role of Post-Acute Care in Rising Health Care Costs

December 2014 Health Policy Dialogue co-sponsored by the Office of the President and the Office of Health Policy and Legislative Affairs at UTMB. Presented by Melinda B. Buntin, PhD, Professor and Chair, Department of Health Policy, Vanderbilt University School of Medicine

Creating Value in Health Care through Big Data Creating Value in Health Care through Big Data

November 2014 Health Policy Dialogue co-sponsored by the Office of the President and the Office of Health Policy and Legislative Affairs at UTMB. Presented by Joachim Roski, PhD, MPH of Booz, Allen & Hamilton.
# Medicare: Post-Acute Care, Moving Beyond the Silos

June 2014 Health Policy Dialogue co-sponsored by the Office of the President and the Office of Health Policy and Legislative Affairs at UTMB. Presented by Barbara J. Gage, PhD, MB A Managing Director, Engelberg Center for HealthCare Reform and Fellow of Economic Studies, The Brookings Institute.
Users Guide: TBI

Users Guide: Traumatic Brain Injury Model Systems National Database

May 2013 - Arun Karpur, Employment and Disability Institute , Cornell University

University at Texas-Medical Branch Project Team:
Ken Ottenbacher, Ph.D., OTR (Principal Investigator) James E. Graham, Ph.D. Amol Karmarkar, Ph.D.
Employment and Disability Institute (EDI) Project Team:
Susanne Bruyère, Ph.D., CRC, Director of EDI William Erickson, Research Specialist Arun Karpur, Extension Faculty

Public Health Information and Data Tutorial The Public Health Information and Data Tutorial provides instruction for members of the public health workforce on issues related to information access and management.
va-open-data New Department of Veteran Affairs Open Data Portal

Data, APIs, tools and resources that can be used to develop web and mobile applications, design data visualizations, and create stories directly from VA resources.
Archive of Data on Disability to Enable Policy and research (ADDEP) screen capture of website (ADDEP) is an initiative to build a repository of data on disability and rehabilitation to improve and enable research.
SDHI

Webinar: Secondary Datasets in Disability and Health: Tools for Researchers Using US Datasets

National survey and administrative datasets continue to be a rich resource for generating national-level statistics for people with disabilities in the United States. Heterogeneous definitions of identifying individuals with disabilities as well as the varying sampling framework limit the use of secondary datasets.

SDHI Webinar, December 13, 2012 - Presented by Arun Karpur, Research Faculty, School of Industrial & Labor Relations Employment & Disability Institute, Cornell University and William Erickson, Research Specialist Employment & Disability Institute, Cornell University

Use of Geographic Variation to Estimate Effectiveness With Nonrandomized Data Use of Geographic Variation to Estimate Effectiveness With Nonrandomized Data

July 2012 Comparative Effectiveness Research with Population-Based Data Conference, Baker Institute at Rice University. Presented by Mary Beth Landrum, PhD, Harvard Medical School.
Statistical Methods / Confounding in Large Health Care Databases for CER Statistical Methods / Confounding in Large Health Care Databases for CER

July 2012 Comparative Effectiveness Research with Population-Based Data Conference, Baker Institute at Rice University. Presented by M. Alan Brookhart, PhD, University of North Carolina at Chapel Hill.
Rigorous Quasi-Experimental Comparative Effectiveness Research Study Design Rigorous Quasi-Experimental Comparative Effectiveness Research Study Design

July 2012 Comparative Effectiveness Research with Population-Based Data Conference, Baker Institute at Rice University. Presented by Matthew Maciejewski, PhD, Duke University & VA.
New Frontiers in Disability Related Comparative Effectiveness Research (CER) New Frontiers in Disability Related Comparative Effectiveness Research (CER)

June 22, 2012 - Boston University, Boston MA

Presentations and discussion of key topics:
- Selecting the most appropriate study design;
- Identifying a meaningful diagnostic or functional classification system;
- Accurately describing interventions;
- Selecting appropriate outcomes measures.

Workshops were held to discuss application of CER with specific populations and in different settings.
User Guide: Disability Statistics from the American Community Survey

Users Guide: Disability Statistics  from the American Community  Survey (2008 Forward)

June 2012 - University at Texas-Medical Branch Project Team:
Ken Ottenbacher, PhD, OTR (Principal Investigator) Amol Karmarkar, PhD
Employment and Disability Institute (EDI) Project Team:
Susanne Bruyère, PhD, CRC, Director of EDI William Erickson, Research Specialist Arun Karpur, Extension Faculty

University of Bristol Centre for Multilevel Modeling University of Bristol Centre for Multilevel Modeling

Video and audio presentations on multilevel modeling, multilevel structures and classifications, random intercept models, residuals, measuring dependency, covariance/correlation matrices, and more.
screen capture of slide Slides: Security, Privacy, and Ethical Issues in Database Research

UTMB/CRRLD (r24) Presentation 2011 - Presented by Linda S. Elting, Dr.P.H, University of Texas MD Anderson Cancer Center
# Slides: Hierarchical Linear Models in Medical and Rehabilitation Research

April 2011 - Presented by Ann A. O’Connell, EdD, The Ohio State University College of Education and Human Ecology
Rehabilitation Dataset Directory website screen capture Browse or search the Rehabilitation Research Cross-Dataset Variable Catalog for detailed variable level rehabilitation relevant information.
Rehabilitation Dataset Directory screen capture of website The Rehabilitation Dataset Directory is designed to assist rehabilitation researchers identify potential secondary data sources.

The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Colorado State University, Cornell University, and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
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