Sentence examples for separate regression equations from inspiring English sources

In the linear regression analyses, we analyzed two dependent variables in separate regression equations: femur BMD and total hip BMD.

Both Lamothe adjusted non-fixed OR and GLMM allow for informative clustering, the former by not assuming a fixed OR across clusters and the latter by allowing separate regression equations across different groups of clusters.

Each row depicts data from a separate regression equation, where the dependent variable was defined as influenza type and age (in years) and a single patient characteristic, as listed in the first column of the row (coded as a dichotomous variable indicating the presence or absence of the respective symptom or underlying medical condition) were included as the predictor variables.

Each cortisol assessment (in separate multiple regression equations) was regressed on these covariates and the residuals saved for use in subsequent analyses.

These were modelled in separate logistic regression equations and combined to give an overall measure of effect.

Third, a U-shape in age is found in separate well-being regression equations in 72 developed and developing nations.

For services that were covered by THS 2004, we specified separate multivariable logistic regression equations for each service (Table 1) to estimate the age-sex specific probability of receiving such, as follows: (2) where Y j is the utilisation for service j, x c (c = 1 to q) are covariables, and a c the parameter of the corresponding covariables.

For instance, since it is not possible to completely separate statistical effect sizes of highly correlated terms in multiple regression equations, separate alternative analyses are required.

Separate step-wise multiple regression equations were conducted for the DDS17 and DDS2 for each of the four dependent variables for each sample: step 1, demographics and disease status; step 2, DDS score (linear term); step 3, DDS score (quadratic term).

In the present study, we derived a separate phylogenetic corrected regression equation (Fig. 7).

Separate equations were used to model diabetes and diabetes related mortality using a combination of Gompertz regression equations and logistic regression models.