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Both logistic and linear regressions were used.
Both logistic and linear regressions are thus associated with strengths and weaknesses.
Two-factor interaction between smoking and age/sex was evaluated in both logistic and linear regression.
For both logistic and linear regression models, the independent variables were age (0-17, 18-34, 35-64, 65-74, 75+ years), education, and area-based SEP.
Here, both logistic and linear regression can be used to calculate propensity scores; convergence is more often achieved when using linear regression.
We divided the cohort into quartiles of predicted FEV1 and using both logistic and linear regression modeling techniques determined whether FEV1 was related to the occurrence of adeno or squamous cell carcinoma in men and women.
Similar(53)
In both the logistic and linear regressions the only variable omitted due to collinearity was self-reported mental health.
Variables included in both the logistic and linear regression models were based on known outcome-related risk factors or variables that differed between patients with and without OSA.
The covariates that were included in both the logistic and linear regression analyses were: baseline HbA1c, time between baseline HbA1c and metformin start date, drug adherence, daily dose and creatinine clearance, if measured in the cohort.
These were then applied in a sequential (rather than simultaneous) fashion to both multivariate logistic and linear regression analyses to evaluate these variables and admission values of nutritional status.
Likelihood ratio nested model χ tests were used to compare full models including high- versus low-FPG indicator variables in both the logistic and linear models with reduced models without the FPG variable.
Related(20)
both radial and linear
both hyperbranched and linear
both lateral and linear
both digital and linear
both branched and linear
both logistic and normal
both logistic and economic
both repeatable and linear
both isotropic and linear
both logistic and random
both conformational and linear
both cyclic and linear
both circular and linear
both subcritical and linear
both exponential and linear
both volumetric and linear
both irreversible and linear
both logistic and ordinary
both cylindrical and linear
both figurative and linear
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