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Summary of multiple regression statistics for Overall score.
Summary of multiple regression statistics for Section 1 score.
The score of concept's questions represented each concept in the multiple regression statistics.
Table 6 shows multiple regression statistics for each assessment for both institutions where there was a significant correlation with an admissions tool.
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Multiple logistic regression statistics was used to test the association in newly diagnosed CKD.
Univariate (t-test and Fisher's Exact) and multiple linear regression statistics evaluated predictors of outcomes of PICU length of stay (LOS) and ventilation days.
(all model data) Model Regression statistics Multiple R 0.84608 R square 0.71584 Adjusted R square 0.71489 Standard error 0.35865 Observations 300 Intercept 8.61844 X variable 4.01749 t Stat 27.399 p value 2.07E83* * Reject null hypothesis (H2o) (there is a statistically significant negative relationship between STEM density and observed group size average).
Unpaired t-test, Chi-square tests, median and interquartile range (IQR) statistics, multiple regression analysis, and multiple logistic regression analysis were applied when appropriate.
In statistics, multiple regression analysis typically assumes the independence among input variables (i.e., expression profiles of modulator genes of CoMRe).
In others, SNP genotypes are analyzed in a multiple regression model and global statistics are constructed to represent the joint effects of multiple SNPs in a gene [ 3, 8, 12, 13].
We used software R (version 2.0; R Development Core Team 2004) for smooth curve fitting and graphics; and SAS (version 9.0; SAS Institute Inc. Cary, NC) for general statistics, multiple regression models, and mixed models.
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CEO of Professional Science Editing for Scientists @ prosciediting.com