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Possible Answers: LOS.
Last seen on: Eugene Sheffer – King Feature Syndicate Crossword – Feb 7 2018
Random information on the term “Angeles”:
Los Angeles
Los Angeles (/lɒs ˈændʒələs/ ( listen); Spanish for “The Angels”; Spanish pronunciation: [los ˈaŋxeles]), officially the City of Los Angeles and often known by its initials L.A., is the cultural, financial, and commercial center of Southern California. With a U.S. Census-estimated 2016 population of 3,976,322, it is the second most populous city in the United States (after New York City) and the most populous city in the state of California. Located in a large coastal basin surrounded on three sides by mountains reaching up to and over 10,000 feet (3,000 m), Los Angeles covers an area of about 469 square miles (1,210 km2). The city is also the seat of Los Angeles County, the most populated county in the country. Los Angeles is the center of the Los Angeles metropolitan area, with 13,131,431 residents, and is part of the larger designated Los Angeles-Long Beach combined statistical area (CSA), the second most populous in the nation with a 2015 estimated population of 18.7 million.
Random information on the term “LOS”:
Length of stay (LOS) is a term to describe the duration of a single episode of hospitalization. Inpatient days are calculated by subtracting day of admission from day of discharge.
A common statistic associated with length of stay is the average length of stay (ALOS), a mean calculated by dividing the sum of inpatient days by the number of patients admissions with the same diagnosis-related group classification. A variation in the calculation of ALOS can be to consider only length of stay during the period under analysis.
Length of stay is typically highly skewed, so statistical approaches taking that into account are recommended. While the mean length of stay is useful from the point of view of costs, it may be a poor statistic in terms of representing a typical length of stay; the median may be preferred.
It is useful to be able to predict an individual’s expected length of stay or to model length of stay to determine factors that affect it. Various analyses have sought to model length of stay in different condition contexts. This has usually been done with regression models, but Markov chain methods have also been applied. Within regression approaches, linear, log-normal and logistic regression approaches have been applied, but have been criticised by other researchers. Carter & Potts (2014) instead recommend use of negative binomial regression.