Sentence examples for methods is conditional from inspiring English sources
However, in practice, the use of ratio methods is conditional on prior knowledge of both (i) significant changes in TSPO expression in target regions such that interregional correlations are reduced and (ii) significant equivalence [11, 12] of TSPO expression in the reference region between groups.
In order to use this proposed method described above, the coding method is conditional.
In the meshfree method, it is important to note that the accuracy and stability of the method is conditional upon the correlation parameter ω, the nodal spacing h (h is the average nodal distance between any two points), and also the Reynolds number Re.
If the sampling method is conditional upon the amino acid sequence, the reference state necessarily also depends on the amino acid sequence.
All analyses were performed using Stata (version 11) (Statacorp, 2010), and our main analytical method was conditional logistic regression.
In switching regression method, as farm productivity (Y) is conditional on technology adoption status, we use two separate production functions for adopters and non-adopters as follows: {displaystyle begin{array}{l}{Y}_{1i}={alpha}_1{J}_{1i}+{epsilon}_{1i}kern0.75em mathrm{if} {G}_i=1 {Y}_{0i}={alpha}_0{J}_{0i}+{epsilon}_{0i}kern0.75em mathrm{if} {G}_i=0end{array}} (2).
The second method is fully conditional specification or multivariate imputation with chained equations (MICE) [ 7], which requires the specification of a univariate conditional model for each incomplete variable.
The first method is a conditional random field-based approach, which was trained on the training dataset of BioCreAtIvE II Gene Mention Recognition Task Smithh et al., 2008).
The methods are based on conditional distributions of the inter-event times conditional on the total time of the preceeding event or study start.
Spatial regression models have therefore been developed under both frequentist and Bayesian approaches, with common methods used in epidemiological studies being Conditional Autoregressive Models (CAR), Geographically Weighted Regression (GWR) and the Besag York and Molliè (BYM) approach (Auchincloss et al. 2012; Chaney and Rojas-Guyler 2016; Rezaeian et al. 2007).
