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Henipavirus is a genus of negative-strand RNA viruses in the family Paramyxoviridae, order Mononegavirales containing six established species, [1] [2] and numerous others still under study. [3]
Hendra virus (Hendra henipavirus) is a zoonotic virus found solely in Australia. First isolated in 1994, the virus has since been connected to numerous outbreaks of disease in domestic horses and seven human cases. Hendra virus belongs to the genus Henipavirus, which also contains the zoonotic Nipah virus.
Exclusion criteria concern properties of the study sample, defining reasons for which patients from the target population are to be excluded from the current study sample. Typical exclusion criteria are defined for either ethical reasons (e.g., children, pregnant women, patients with psychological illnesses, patients who are not able or willing ...
An example of such a diagnosis is "fever of unknown origin": to explain the cause of elevated temperature the most common causes of unexplained fever (infection, neoplasm, or collagen vascular disease) must be ruled out. Other examples include: Fibromyalgia [9] Adult-onset Still's disease [10] Behçet's disease [11] Bell's palsy [12]
Test of variation in physiological measures An early warning system ( EWS ), sometimes called a between-the-flags or track-and-trigger chart , is a clinical tool used in healthcare to anticipate patient deterioration by measuring the cumulative variation in observations, most often being patient vital signs and level of consciousness. [ 1 ]
This rudimentary computerized interpretation is not far off from the methods used today. [3] In 1969, the first program able to generate narrative reports based on scale configurations was released. [4] By 1985, it was estimated that as many as 1.5 million MMPI protocols had been interpreted by computer-based test interpretation (CBTI) programs ...
If the model is overidentified, there is information available which may be used to test this assumption. The most common test of these overidentifying restrictions, called the Sargan–Hansen test, is based on the observation that the residuals should be uncorrelated with the set of exogenous variables if the instruments are truly exogenous. [22]
The Sargan test is based on the assumption that model parameters are identified via a priori restrictions on the coefficients, and tests the validity of over-identifying restrictions. The test statistic can be computed from residuals from instrumental variables regression by constructing a quadratic form based on the cross-product of the ...