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HCUP Logo. The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products from the United States that is developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ).
The Agency for Healthcare Research and Quality [1] (AHRQ; pronounced "ark" by initiates and often "A-H-R-Q" by the public) is one of twelve agencies within the United States Department of Health and Human Services (HHS). [2] The agency is headquartered in North Bethesda, Maryland, a suburb of Washington, D.C. (with a Rockville mailing address).
Linux, macOS, Unix, Windows [4] GPL and LGPL: Collaborative project Galaxy: Scientific workflow and data integration system Unix-like: Academic Free: Collaborative project GenePattern: Scientific workflow system that provides access to hundreds of genomic analysis tools Unix-like (public server); Linux, macOS, Windows: MIT: Broad Institute, UC ...
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
This site will begin uploading more current references in April 2020. [citation needed] Historically, it had been maintained as a public resource by the Agency for Healthcare Research and Quality (AHRQ) of the U.S. Department of Health and Human Services. The NGC aimed to provide physicians, nurses, and other health professionals, health care ...
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The organization was the sole prime contractor for developing and maintaining AHRQ's National Guideline Clearinghouse, a database of clinical practice guidelines, since its inception in 1998 and the National Quality Measures Clearinghouse, [14] a database of evidence-based healthcare quality measures, since its inception in 2001.
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.