Education & Training: Analyzing Data

Activities supported by the Center

Edu Training

# 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/
# 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
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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.
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.
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.
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.
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.

Additional Resources

Websites

  • ICPSR Summer Program in Quantitative Methods of Social Research In these sessions, participants took workshops on a range of introductory and advanced methodological approaches (including linear regression, categorical analysis, maximum likelihood estimation, scaling/dimensional analysis, Bayesian statistics, causal inference, and time series analysis) along with lectures that focused on fundamental mathematical skills (matrix algebra and calculus) and software applications in SPSS, SAS, Stata, and the R statistical Computing Environment. Save the date for the 2017 ICPSR Summer Program, June 26 - July 21 & July 24 - August 18.
  • VIReC Cyberseminars VIReC hosts several cyberseminar series to provide expert discussion and guidance on key issues related to using VA data for research.
  • AcademyHealth Professional Resources ​ AcademyHealth provides information on the latest developments in the field of health services research (HSR). Resources include key online research tools from AcademyHealth and the National Information Center on Health Services Research and Health Care Technology (NICHSR). In this section you will also find helpful information about searching the HSR literature and a specialized search on HSR in PubMed; searching for information on the methods in the field; locating ongoing and recent research prior to publication; and identifying data sources.
  • Agency for Healthcare Research and Quality Effective Health Care Program Offering interactive patient decision aids, news, consumer research summaries and research guidance, methods and tools.
  • Patient-Centered Outcomes Research Institute Research Methodology Developing and improving the science and methods of patient-centered outcomes research (PCOR) is a central part of PCORI's work. Better methods will produce more valid, trustworthy, and useful information that will lead to better healthcare decisions and, ultimately, to improved patient outcomes.
  • University of Bristol Centre for Multilevel Modeling Training Training materials and online information about multilevel modeling and MLwiN.
  • Data Analysis Training Institute of Connecticut DATIC offers professional development summer workshops in a variety of modern data analytic techniques. All workshops are geared toward researchers who wish to utilize these techniques in their own work.
  • International Society for Pharmacoeconomics and Outcomes Research ISPOR tools for outcomes researchers.

Edu Training

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.

The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, 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).