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This variable selection method can be combined with a number of different regression analysis techniques like partial least squares (PLS) [ 43], partial component regression [ 44], k nearest neighbour [ 45] among others by selecting the appropriate combination.
To investigate whether the patient characteristics (e.g., age, level of education, and psychosocial treatment before the inpatient treatment) and patient ratings of the therapeutic alliance predict the outcomes of the aftercare coordination, different regression analysis models will be applied to the primary and secondary outcomes.
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In terms of descriptive analyses using percent improvement, nutrition, cancer prevention and early detection, and accessing information on cancer clinical trials all showed improvement from baseline; however, agreement with nutrition was not significantly different in regression analysis.
Because we expected the demographic and clinical features of the two groups to be different, multiple regression analysis had been planned and was accordingly conducted to adjust and compare the impact of catheter choice on mean daily fluid balance, mechanical ventilation-free days, ICU-free days, and hospital mortality (Tables 5, 6, 7, 8).
The results of Appendix C indicate that different packet sizes lead to different results for regression analysis.
Linear regression was conducted for rheological data of aphron-based drilling fluids under different temperatures using regression analysis method, and the constitutive equations of tested liquids were obtained, as shown in Table 3.
For the FA clusters in Table 2, i.e, the clusters where FA had been found to be significantly different between groups, regression analysis was conducted to determine the relationships between the FA values and the decision making measure (IGT score in blocks 4 and 5).
Similarly, for the λ⊥ clusters in Table 2, i.e., the clusters where λ⊥ had been found to be significantly different between groups, regression analysis was conducted to determine the relationships between the λ⊥ values and the decision making measure (IGT score in blocks 4 and 5).
Structural equation modelling includes several elements that are different from multivariate regression analysis [ 20].
Mortality rate in neonates with and without thrombocytopenia, respectively 9% (39/422) vs. 3% (32/1147), was not significantly different after multiple regression analysis (p = 0.4).
It is assumed that the data are normally distributed and the will be made to different Multiple Linear Regression analysis where the first will be between baseline and after 12 weeks and the second between baseline and 52 weeks.
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