Tuesday, May 19, 2015

Regional extensive indexes can not be compared. This is because the recent fluctuations in a certai


As a result of the construction material in the form of statistical tables Chopping determined by absolute numbers, which can have independent significance to characterize the volume and size of the phenomenon, and also serve as a basis for calculating census the derived values.
In medical census statistics, absolute values are used to characterize the population, the number of medical institutions, hospital beds, and other human resource capacity. They are also used for small numbers census of observations, such as when you want to show rare cases of especially dangerous diseases.
However, the analysis of the survey results is always a need for a comparison of the results and comparison of absolute data can lead to erroneous conclusions. In most cases, using absolute values is an intermediate stage to determine the original value.
When comparing the sizes of such phenomena as birth, death, illness, injury, complications, or study their changes over time, the absolute numbers are needed to help these phenomena bring to a common denominator, attributed census to the same population. We need absolute census numbers and the distribution of the total number of these phenomena on the parts.
The validity of this provision can be illustrated by the following example: in A. died in the year 970 people, and in V. - 1025 people. We can assume that in V. mortality is higher than in AA, but for this example is incorrect. After all, the absolute number of deaths does not determine census the intensity of mortality. The latter depends on the population (environment), among which revealed this phenomenon (death). For our example A. -in the town lived 67000 people, and in V. - 80000. To determine census the city in which mortality was actually higher, it is necessary to determine the ratio of numbers of deaths census in urban areas A. and B. to the population in them.
If we define the number of deaths per 1000 population in each city, it appears that in AA, it is 14.5 per 1,000, and in V. - 12.8. Mortality in AA is higher than in V., ie the opposite conclusion to that was when comparing absolute numbers.
Size basis for determining phenomena selected census as follows: the more it spread, the lower base. So, overall mortality, fertility, morbidity and other defined population in 1000, special performance of these phenomena - often in 10OOO or 100,000 population, the incidence of temporary disability - 100 employees, mortality - in 100 patients.
To determine the intensive indicator should take only the environment, where the phenomenon being studied. For example, census the incidence in the general population or individual groups, mortality among all hospitalized, or only among patients hospitalized after 24 hours of onset of the disease, census and more. Phenomenon and the environment need to be connected.
The ratio - the ratio of the two phenomena are not unrelated. For example, the provision of public beds, doctors, the number of laboratory studies on 100 outpatient visits, and others. These parameters are determined at 100, 1000, 10000 people. Method of calculation is the same as the intense performance. The difference is that the latter describing the frequency phenomena generated by this environment and associated with it. This is not characteristic ratio.
Ratio can be compared with each other in dynamics and in the regions. Unlike other synthesis variables, which will be discussed below, intensity and performance ratio is not abstract, and named numbers: they always show the number of population units located in. numerator per unit of population, which is the denominator. census
Extensiveness indicators reflect the proportion, structure, distribution, warehouse census phenomena. define them in when necessary to analyze the distribution of the absolute number of phenomena into its component parts. census They show what proportion, proportion, percentage each part is around census the phenomenon (in the total number of observations). The extensive index can determine the presence of population size and its components. census
Regional extensive indexes can not be compared. This is because the recent fluctuations in a certain direction (increase or decrease) may be related to both change their display census of the phenomenon and the reverse change one or more of its other parts. Thus, reducing the share of the increase may be due to other particles together, despite the fact that a whole remains unchanged (100%). Comparison of extensive indicators alone can not determine what caused these changes.
Such a relationship is by extensive coefficients. For example, the weight of a certain disease in its structure can be increased: a) intense growth factor if ki

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