Regression, B LinearModels, LogicalCoefficient, CorrelationMeans, GeometricLines, RegressionTaagepera, R. (2009). Logical Models in Social Sciences: How to Begin Constructing Them.Taagepera, Rein. 2009. "Logical Models in Social Sciences: How to Begin Constructing Them." http://www.psych.ut....
To identify which combination of variables has the largest explicative power for predicting the CUS condition, a linear multiple regression analysis was conducted with the dependent variable groups categorised with dummy codes of "0" for controls and "1" for CUS –the condition to be predicted ...
We then conducted a hierar- chical regression, with the first two variables entered initially. This showed that strategy use accounted for 14.9% of the var- iability over and above that of the two other variables, F(1, 94) = 17.27, p < .0001. We also conducted a Bayesian linear re...
Instead of representing the influence as an infection phenomenon between connected individuals, Yang and Leskovec [23] recently proposed a linear influence model which is agnostic on the network structure and relies only on the time of the contagion. These observations imply the presence of a hidden...
We used descriptive statistics and tested hypotheses by linear regression, the Fisher exact test, and the unpaired T-test. In 51 boys with dystrophinopathy aged 4-15 years, the average eGFRG was 1,8 卤 0,4 ml/s/1,74m2. Surprisingly, eGFRG was lower than 1,5 ml/s/1,74m2 in 12...
Regression equations developed with CEC could not predict accurately the VS and LL of two of the 10 validation soils with <5 cmol(c)/kg CEC and dominated by kaolinite. The OM-based model could not provide good estimates of the PL of the two vertisols with >80% VS values. The ...
(4) after the regression of the lesions without leaving any relic, there is a refractory period that is variable, depending on the nature of the stimulus (but generally lasting 24–48 h), probably linked to the exhaustion of chemical mediators [21,29]; ...