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A pooled analysis is a statistical technique for combining the results of multiple epidemiological studies. It is one of three types of literature reviews frequently used in epidemiology, along with meta-analysis and traditional narrative reviews .
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A Group Test consists of tests that can be administered to a large group of people at one time. This is the opposite of an Individual Test, which is administered to one person at a time, typically by someone receiving payment to administer the test. Most testing today is administered as group tests, considering the many benefits that are ...
Tukey’s Test (see also: Studentized Range Distribution) However, with the exception of Scheffès Method, these tests should be specified "a priori" despite being called "post-hoc" in conventional usage. For example, a difference between means could be significant with the Holm-Bonferroni method but not with the Turkey Test and vice versa.
The country increased other countermeasures at the same time so the inference was questionable. In the following months Slovakia's COVID-19 death rate per population increased to among the highest in the world. Research on mass testing suggests that people who test negative think it is safe to travel and come in contact with infected people.
Intergovernmental risk pool is the use of the risk pool risk management technique commonly practiced by private insurance companies, but applied to public entities (e.g. made up of government agencies, school districts, county governments and municipalities) who come together to form a pool to provide protection against catastrophic risks such as floods or earthquakes.
Synonyms often express a nuance of meaning or are used in different registers of speech or writing. Various technical domains may employ synonyms to convey precise technical nuances. Some writers avoid repeating the same word in close proximity, and prefer to use synonyms: this is called elegant variation. Many modern style guides criticize this.
In statistical hypothesis testing, a two-sample test is a test performed on the data of two random samples, each independently obtained from a different given population. The purpose of the test is to determine whether the difference between these two populations is statistically significant .