<p><sup>a</sup>This parameter is set to zero because it is redundant</p><p>*β coefficients indicate how much a dependent variable changes per each unit variation of the independent variable, taking into account the effect of the other independent variables in the model. For categorical variables, β coefficients represent the effect of moving from the “reference” category (<sup>a</sup>) to another</p><p>Data are shown for 2,393 asymptomatic children.</p><p>Parameter estimated by multiple linear regression analysis models for FVC, FEV<sub>1</sub>, and FEF<sub>25–75%</sub> as dependent variables and sex, age class, height, and weight as independent variables.</p
<p>Linear regression of model data ADULT SYMPTOMS + AGE + SEX + ICV, assessing the importance of the...
<p>B = unstandardized beta; SE B = standard error of beta; β = standardized beta;</p><p>* = p<0.0...
<p>Multivariable regression model; dependent variable: 6MWD and independent variables: UFM parameter...
<p><sup>a</sup>This parameter is set to zero because it is redundant</p><p>*β coefficients indicate ...
<p>*β coefficients indicate how much a dependent variable changes per each unit variation of the ind...
<p>(A): Partial regression coefficients of Ln(H) for reference means of Ln(FVC) in young-, middle-, ...
<p>(A): Partial regression coefficients of Ln(BW) for reference means of Ln(FVC) in young-, middle-,...
<p>Educational attainment (EDUC) is a categorical variable. The parameter coefficients and significa...
<p>CI = confidence interval; %BF = percentage body fat; gender: men = 1, women = 0; BMI = body mass ...
<p>Multiple linear regression analysis for the independent factors determining ferritin by gender.</...
<p>One model is executed per variable with the variable in question as the dependent variable and th...
¶<p>Multivariable linear regression model with the Food Variety Score as a dependent variable and pr...
<p>(A): Partial regression coefficients of Ln(H) for reference means of Ln(FEV<sub>1</sub>/FVC) in y...
<p>Linear regression of model data DIAGNOSIS + AGE + SEX + ICV, assessing the importance of the diag...
<p>Residual standard error: 0.8892, d.f. = 679 (6 observations deleted due to missingness), multiple...
<p>Linear regression of model data ADULT SYMPTOMS + AGE + SEX + ICV, assessing the importance of the...
<p>B = unstandardized beta; SE B = standard error of beta; β = standardized beta;</p><p>* = p<0.0...
<p>Multivariable regression model; dependent variable: 6MWD and independent variables: UFM parameter...
<p><sup>a</sup>This parameter is set to zero because it is redundant</p><p>*β coefficients indicate ...
<p>*β coefficients indicate how much a dependent variable changes per each unit variation of the ind...
<p>(A): Partial regression coefficients of Ln(H) for reference means of Ln(FVC) in young-, middle-, ...
<p>(A): Partial regression coefficients of Ln(BW) for reference means of Ln(FVC) in young-, middle-,...
<p>Educational attainment (EDUC) is a categorical variable. The parameter coefficients and significa...
<p>CI = confidence interval; %BF = percentage body fat; gender: men = 1, women = 0; BMI = body mass ...
<p>Multiple linear regression analysis for the independent factors determining ferritin by gender.</...
<p>One model is executed per variable with the variable in question as the dependent variable and th...
¶<p>Multivariable linear regression model with the Food Variety Score as a dependent variable and pr...
<p>(A): Partial regression coefficients of Ln(H) for reference means of Ln(FEV<sub>1</sub>/FVC) in y...
<p>Linear regression of model data DIAGNOSIS + AGE + SEX + ICV, assessing the importance of the diag...
<p>Residual standard error: 0.8892, d.f. = 679 (6 observations deleted due to missingness), multiple...
<p>Linear regression of model data ADULT SYMPTOMS + AGE + SEX + ICV, assessing the importance of the...
<p>B = unstandardized beta; SE B = standard error of beta; β = standardized beta;</p><p>* = p<0.0...
<p>Multivariable regression model; dependent variable: 6MWD and independent variables: UFM parameter...