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1 ed at multiple time points, and comprehensive immunological analyses were performed.
2 were harmonized across the three datasets and standardized analyses were performed.
3 eproducibility of the finite element method, three separate analyses were performed: a test-retest reproducibility analys
5 e study aimed at noninferiority of reduced-intensity P-III; analyses were performed according to treatment given.
10 ellar DNs resting-state network; first-level and high-level analyses were performed by using software tools.
13 x regression, and classification and regression tree (CART) analyses were performed for diagnostic and prognostic perform
14 based on reproducibility, machine learning, and correlation analyses were performed for selecting features, enabling the
19 mmunohistochemical, biochemical, functional, and behavioral analyses were performed in nerves harvested from each group a
21 to elucidate IgE and IgG reactivity, and putative function analyses were performed in silico according to Gene Ontology
27 an Sharing, competing risk, Cox regression and Kaplan-Meier analyses were performed on first-time liver transplant regist
32 Univariate tests and logistic regression analyses were performed, studying the effects of reconstructi
37 Raw and inverse probability of treatment-weighted analyses were performed to compare patients undergoing TAVR w
38 Univariate and multivariate linear regression analyses were performed to determine the factors associated w
43 and regression tree (CART) analysis and logistic regression analyses were performed to identify protein combinations that
46 McNemar tests, as well as receiver-operating-characteristic analyses, were performed to compare variables and diagnostic
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