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This series of government-produced data sets can be used to examine how individuals interact with the medical care system in the United States. MEPS is administered by the Agency for Healthcare Research and Quality (AHRQ) in three components: the core Household Component, the Insurance/Employer Component, and the Medical Provider Component ...
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).
It started at RJMetrics in 2016 as a solution to add basic transformation capabilities to Stitch (acquired by Talend in 2018). [3] The earliest versions of dbt allowed analysts to contribute to the data transformation process following the best practices of software engineering. [4] From the beginning, dbt was open source. [5]
AHRQ headquarters at 5600 Fishers Lane in Rockville, Maryland. The 2015 budget for AHRQ was US$440 million, [8] $24 million less than FY 2014. The budget includes $334 million in Public Health Service (PHS) Evaluation Funds, a decrease of $30 million from FY 2014, and $106 million from the Patient-Centered Outcomes Research Trust Fund, an ...
Emergency Severity Index (ESI): A Triage Tool for Emergency Department Care, Version 4. Implementation Handbook 2012 Edition. AHRQ. ISBN 978-1-58763-416-1. Gilboy N, Tanabe T, Travers D, Rosenau AM (2020). Emergency Severity Index (ESI): A Triage Tool for Emergency Department Care, Version 4. 2020 Edition (PDF). Emergency Nurses Association.
Yahoo! Groups uses Python "to maintain its discussion groups" [citation needed] YouTube uses Python "to produce maintainable features in record times, with a minimum of developers" [25] Enthought uses Python as the main language for many custom applications in Geophysics, Financial applications, Astrophysics, simulations for consumer product ...
Among other possibilities are extending the data used to calculate QALYs (e.g., by using different survey instruments); "using well-being to value outcomes" (e.g., by developing a "well-being-adjusted life-year"; and by value outcomes in monetary terms. [37]
The name is derived from the term "panel data", an econometrics term for data sets that include observations over multiple time periods for the same individuals, [3] as well as a play on the phrase "Python data analysis". [4]: 5 Wes McKinney started building what would become Pandas at AQR Capital while he was a researcher there from 2007 to ...