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Wartenberg's coefficient is a measure of correlation developed by epidemiologist Daniel Wartenberg. [1] This coefficient is a multivariate extension of spatial autocorrelation that aims to account for spatial dependence of data while studying their covariance. [2] A modified version of this statistic is available in the R package adespatial. [3]
Wartenberg's sign is a neurological sign consisting of involuntary abduction of the fifth (little) finger, caused by unopposed action of the extensor digiti minimi. [ 1 ] [ 2 ] This commonly results from weakness of some of the ulnar nerve innervated intrinsic hand muscles -in particular the palmar interosseous muscle to the little finger ...
These include Wartenberg's migratory sensory neuropathy, Wartenberg's sign, Wartenberg’s syndrome, and the Wartenberg wheel. [4] Wartenberg is sometimes incorrectly credited as the inventor of the Wartenberg wheel. [15]. According to Wartenberg, this device, used to test skin sensitivity, was in widespread use in Europe when he lived in ...
The Best Social Security Calculators You Can Use for Free. David Beren. January 8, 2025 at 7:37 AM.
A Wartenberg wheel, also called a Wartenberg pinwheel or Wartenberg neurowheel, is a medical device for neurological use. The wheel was designed to test nerve reactions (sensitivity) as it rolled systematically across the skin. [1] A Wartenberg wheel is generally made of stainless steel with a
Global Moran's I is a measure of the overall clustering of the spatial data. It is defined as = = = (¯) (¯) = (¯) where is the number of spatial units indexed by and ;; is the variable of interest;
In statistics, the Page test for multiple comparisons between ordered correlated variables is the counterpart of Spearman's rank correlation coefficient which summarizes the association of continuous variables. It is also known as Page's trend test or Page's L test. It is a repeated measure trend test. The Page test is useful where:
The test procedure due to M.S.E (Mean Square Error/Estimator) Bartlett test is represented here. This test procedure is based on the statistic whose sampling distribution is approximately a Chi-Square distribution with ( k − 1) degrees of freedom, where k is the number of random samples, which may vary in size and are each drawn from ...