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3 concentration, and result in a corresponding mild reduction in the anion gap. In many situations, alterations in renal function (even if mild, e.g., as that caused by dehydration in a patient with diarrhea) may modify the anion gap that may be expected to arise in a particular pathological condition. [citation needed]
Note: Fisher's G-test in the GeneCycle Package of the R programming language (fisher.g.test) does not implement the G-test as described in this article, but rather Fisher's exact test of Gaussian white-noise in a time series. [10] Another R implementation to compute the G statistic and corresponding p-values is provided by the R package entropy.
A negative urine anion gap suggests a high urinary NH 4 + (e.g. diarrhea). References This page was last edited on 22 July 2024, at 21:49 (UTC). Text is ...
Results 2 and 4 are the ones which have mixed acid–base disorders. Results 1. and 4. are oddities, mathematically speaking: [citation needed] Result 1: if there is a normal anion gap acidosis, the (AG – 12) part of the equation will be close to zero, the delta ratio will be close to zero and there is no mixed acid–base disorder. Your ...
In mathematics, the ratio test is a test (or "criterion") for the convergence of a series =, where each term is a real or complex number and a n is nonzero when n is large. The test was first published by Jean le Rond d'Alembert and is sometimes known as d'Alembert's ratio test or as the Cauchy ratio test.
Reference ranges (reference intervals) for blood tests are sets of values used by a health professional to interpret a set of medical test results from blood samples. Reference ranges for blood tests are studied within the field of clinical chemistry (also known as "clinical biochemistry", "chemical pathology" or "pure blood chemistry"), the ...
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Post-test probability refers to the probability that a condition is truly present given a positive test result. For a good test in a population, the post-test probability will be meaningfully higher or lower than the pretest probability. A high likelihood ratio indicates a good test for a population, and a likelihood ratio close to one ...