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Possible Answers:
Los.
Last seen on: Daily Celebrity Crossword – 8/5/20 Wayback Wednesday
Random information on the term ” ___ Angeles”:
Los Angeles (/lɔːs ˈændʒələs/ (listen);[a] Spanish: Los Ángeles; Spanish for ‘The Angels’), officially the City of Los Angeles and often known by its initials L.A., is the largest city in California. With an estimated population of nearly four million people, it is the second-most populous city in the United States (after New York City) and the third-most populous city in North America (after Mexico City and New York City). Los Angeles is known for its Mediterranean climate, ethnic diversity, Hollywood entertainment industry, and its sprawling metropolis.
Los Angeles lies in a basin in Southern California, adjacent to the Pacific Ocean, with mountains as high as 10,000 feet (3,000 m), and deserts. The city, which covers about 469 square miles (1,210 km2), is the seat of Los Angeles County, the most populous county in the United States. The Los Angeles metropolitan area (MSA) is home to 13.1 million people, making it the second-largest metropolitan area in the nation after New York. Greater Los Angeles includes metro Los Angeles as well as the Inland Empire and Ventura County. It is the second-most populous U.S. combined statistical area, also after New York, with a 2015 estimate of 18.7 million people.[21]
Random information on the term ” Los”:
Length of stay (LOS) is 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.