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Test Sensitivity and specificity Approximate peak Description Troponin test: The most sensitive and specific test for myocardial damage. Because it has increased specificity compared with CK-MB, troponin is composed of 3 proteins- Troponin C, Cardic troponin I, and Cardiac troponin T. Troponin I especially has a high affinity for myocardial injury.
The McDonald–Kreitman test in statistical genetics is an application of the G-test. Dunning [ 8 ] introduced the test to the computational linguistics community where it is now widely used. The R-scape program (used by Rfam ) uses G-test to detect co-variation between RNA sequence alignment positions.
Troponin I is a biomarker that responds to treatment interventions. Reductions in troponin I levels proved to reduce the risk of future CVD. [23] [24] [25] High sensitive troponin I used as a screening tool to assess a person's cardiovascular risk and has the potential to reduce the growing cost burden of the healthcare system. [26]
[2] [3] [4] It has an integrated spreadsheet for data input and can import files in several formats (Excel, SPSS, CSV, ...). MedCalc includes basic parametric and non-parametric statistical procedures and graphs such as descriptive statistics , ANOVA , Mann–Whitney test , Wilcoxon test , χ 2 test , correlation , linear as well as non-linear ...
Troponin T (blue) anchors the complex on tropomyosin. Troponin is found in both skeletal muscle and cardiac muscle, but the specific versions of troponin differ between types of muscle. The main difference is that the TnC subunit of troponin in skeletal muscle has four calcium ion-binding sites, whereas in cardiac muscle there are only three.
Troponin T binds to tropomyosin and helps position it on actin, [2] and together with the rest of the troponin complex, modulates contraction of striated muscle. [3] The cardiac subtype of troponin T is especially useful in the laboratory diagnosis of heart attack because it is released into the blood-stream when damage to heart muscle occurs. [4]
In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...
In statistics, the Sobel test is a method of testing the significance of a mediation effect. The test is based on the work of Michael E. Sobel, [1] [2] and is an application of the delta method. In mediation, the relationship between the independent variable and the dependent variable is hypothesized to be an indirect effect that exists due to ...