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In medicine, the Comorbidity–polypharmacy score (CPS) is a measure of overall severity of comorbidities. [1] It is defined as the simple sum of the number of known comorbidities (concurrent conditions) and pre-admission medications taken by the patient ( polypharmacy ), as a surrogate for the “intensity” of the comorbidities.
The Current Population Survey (CPS) [1] is a monthly survey of about 60,000 U.S. households conducted by the United States Census Bureau for the Bureau of Labor Statistics (BLS). The BLS uses the data to publish reports early each month called the Employment Situation. [ 2 ]
The American Community Survey (ACS) is an annual demographics survey program conducted by the United States Census Bureau.It regularly gathers information previously contained only in the long form of the decennial census, including ancestry, US citizenship status, educational attainment, income, language proficiency, migration, disability, employment, and housing characteristics.
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The CPS ASEC is the recommended source for national-level estimates, whereas the ACS gives estimates for many geographic levels. [2]: 19 [3]: 10 [4] According to the CPS, the median household income was $70,784 in 2021. [5] [2] According to the ACS, the U.S. median household income in 2018 was $61,937. [3]
The count rates of cps and cpm are generally accepted and convenient practical rate measurements. They are not SI units, but are de facto radiological units of measure in widespread use. Counts per minute (abbreviated to cpm) is a measure of the detection rate of ionization events per minute.
ACS grade is the highest level of purity, and meets the standards set by the American Chemical Society (ACS). The official descriptions of the ACS levels of purity is documented in the Reagent Chemicals publication, issued by the ACS. [3] [4] It is suitable for food and laboratory uses. Reagent grade is almost as stringent as the ACS grade.
In statistics, the conditional probability table (CPT) is defined for a set of discrete and mutually dependent random variables to display conditional probabilities of a single variable with respect to the others (i.e., the probability of each possible value of one variable if we know the values taken on by the other variables).