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There was no association between year of publication and ORs of individual studies (regression slope = −0.013, p = 0.48).
In both studies, regression of LV mass was associated with improved measures of BP and ECF volume control.
Interestingly, significantly better analgesic efficacy was seen in studies of tramadol compared with morphine studies (regression coefficient: −21.4; 95% CI: −39.2, −3.5; P=0.02).
In future studies, regression methods could be applied after these methods to elucidate the determinants of the differences found with these analyses.
In future studies, regression methods could be applied after these methods to elucidate the determinants of the differences found in these analyses.
Interestingly, the incidence of somnolence/sedation was significantly higher in the oxycodone studies compared with the morphine studies (regression coefficient: 20.7; 95% CI: 3.4, 38.0; P=0.02; Table 5).
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As observed in this study, regression techniques were not appropriate for modeling the ordered response variables.
Furthermore, to identify the impact factors on all trip characteristics of this study, regression analysis was conducted.
In general, for studying regression models with a dual choice dependent variable, linear probability models, logit, probit and Tobit models are used (Nakhaei 1389).
Throughout the study, regression models of 2 6 variables were developed and the best model in each case retained for posterior validation.
Finally, to have a more applicable study, regression analysis is utilized to develop design equations and facilitate further analyses for design purposes.
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