Sentence examples for multiple matrix regression from inspiring English sources

We then carried out multiple matrix regression using the program Permute! [42] with dewlap color, pattern, and size as dependent variables, and ecomorph as the independent variable.

These pitfalls are avoided if a multiple matrix regression extension of the QAP procedure is used (MRQAP, as developed by Krackhardt [66] and Dekker et al. [63]; see also [67]).

Geographical distance and IBR matrices were tested against matrices of pairwise FST values using a multiple matrix regression with randomization (MMRR) approach (Wang 2013).

Multiple matrix regression analyses revealed that genetic distance (pairwise FST) was not a significant predictor of divergence in colour morph frequencies in C. decresii (rpartial = 0.026, P = 0.470; Additional file 7: Figure S2).

Linear regressions of the relationship between the frequencies of each morph and the two most informative predictors from the multiple matrix regression models (aridity and vegetation) revealed a consistent pattern of association underpinning the distance-based relationships.

We assessed whether geographic variation in morph frequencies in C. decresii can be explained by genetic and/or environmental factors using multiple matrix regression as implemented in FSTAT ver. 2.9.3.2 [ 46].

Compared with previous shimming schemes, an improved matrix method combining multiple linear regression with systematic artificial adjustment is proposed.

A total of 169 and 101 ILs with MICs and MBCs, respectively, are used to obtain multiple linear regression models based on matrix norm indexes.

Each trait was fitted in a multiple linear regression model to the probability matrix of descent from each founder, including sex and age as covariates.

Ahead of multiple linear regression (MLR) analyses, a correlation matrix was generated between demographic and clinical variables and HRQOL variables in the breast cancer group at T2 to explore which of them should be included as independent variables.

Model development to predict toxicity of organophosphate insecticides in different matrices was carried out using multiple linear regression.