Saturday, February 16, 2013

Webinar February 20: Rehabilitation Related Datasets

RantWoman is EXACTLY the sort of nerd who can wax eloquent about new strands of claims data available to the data crunching public. RantWoman recommends and regrets that she is unavailable to participate:

Free Webinar:

New research tools for exploring disability, rehabilitation-related national-survey and administrative claims data

From:  http://DisabilityStatistics.org


Webinar: New research tools for exploring disability, rehabilitation-related national-survey and administrative claims data

When: February 20, 2013 2:00 -3:00 pm (EST)

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

This presentation will introduce two new innovative web-based free 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?
Presenters:
William Erickson and Arun Karpur
Employment & Disability Institute
Cornell University

The Rehabilitation Dataset Directory is a browse-able/searchable database providing an overview, description, sample and other pertinent information for over 30 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.

To register for this free webinar, please go to:
http://www.ilr.cornell.edu/edi/register/index.cfm?event=4211

The tools were developed by the Employment and Disability Institute (EDI) at Cornell University in collaboration with the Center for Rehabilitation Research  using Large Datasets (CRRLD ) at University of Texas Medical Branch (UTMB). This  work was funded by a sub-contract to EDI through funding from the CRRLD.


The Center for Rehabilitation Research using Large Datasets (CRRLD) is funded by  the Eunice Kennedy Shriver National Institute of Child Health and Human Development and is part of the Medical Rehabilitation Infrastructure Network
(Grant # R24 HD065702).


Cornell University
201 Dolgen Hall
Ithaca, New York 14853
US

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