Approximately 10-15% of COVID-19 patients will progress to severe cases and require treatment in the ICU. One laboratory tests used monitoring ICU is D-dimer. Elevated levels D-dimer can predict disease severity mortality. This study aimed analyze relationship between length stay patients. was an analytic observational using a cross-sectional design with retrospective approach. The secondary da...

In the typology of coefficients correlation, we seem to miss such estimators correlation as rank–polyserial ( R RPS ) and rank–polychoric RPC correlation. This article discusses a set options RP , including both . A new coefficient JT gX based on Jonckheere–Terpstra test statistic is derived, it shown carry essence Such traditional Goodman–Kruskal gamma G Somers delta D dimension-corrected 2 ar...

On the basis of 2200 small (10-100) samples obtained from four random number populations, it is shown that the rank correlation coefficient, p, is 88 adequate a measure of concordance 88 the Pearson product-moment correlation, T. The samples were obtained by using pseudo-random linear and normal number generators for bivariate populations with expected correlation cC'efficientB, r~, of 0.0 and ...

Spearman’s rank correlation coefficient is a nonparametric (distribution-free) rank statistic proposed by Charles Spearman as a measure of the strength of an association between two variables. It is a measure of a monotone association that is used when the distribution of data makes Pearson’s correlation coefficient undesirable or misleading. Spearman’s coefficient is not a measure of the linea...

background: one of the factors that can improve self-concept and performance of staff is professional maturity. professional maturity can also solve the problems of self-concept. the purpose of this paper was to identify the relationship between the dimensions of self-concept and professional maturity.   materials and methods: this relative applicable study was performed on all the personnel (n...

Pearson’s rank correlation coefficient (r) between the vectors of counts and residual values over all tuples was found to be very close to zero (−0.035). Kendall rank correlation coefficient τ between the ranked lists when (w, q) tuples are ordered by frequency and residual value, was found to be −4.65 × 10−9 . This indicates almost no correlation between counts and residuals. Problem Statement

OBJECTIVE To evaluate serum C-peptide in 88 patients from a multiethnic population with Type-1 diabetes and variable disease durations. METHOD Eighty-eight patients with a mean disease duration of 8.1 +7.6 years were included and underwent C-peptide measurement before and after glucagon stimulation. Chi-squared and Mann Whitney U-tests were used to compare the variables between groups (all tw...