+<p>The AIC of multivariable random effect logistic regression model if the corresponding study factor is deleted. The AIC in the full model is 155.7.</p><p>*The study factors gave the lowest AIC and was excluded from the model for the next step.</p
Multivariable Firth’s Bias-Reduced Logistic Regression analysis of risk factors.</p
Multivariable logistic regression models for factors associated with ≥1 missed opportunities.</p
<p>Multiple linear regression model (backward stepwise elimination using bootstrapping) of relative ...
<p>Abbreviation: Coef = Coefficient</p><p>—Predictors removed in backward elimination procedure and ...
Statistical models are simple mathematical rules derived from empirical data describing the associat...
<p>Random Forest backward elimination procedure to further eliminate the cytokines that may be unimp...
<p>This table shows the coefficients of the logistic regression model that results from backward var...
<p>Note. Logistic regression modelling with stepwise backwards selection. Potential predictor variab...
<p>(<b>A</b>) MSE of LOOCV as a function of number of the eliminated variables via the backward elim...
<p>*<i>Exp (B) gives the Odds Ratio.</i></p><p>Multiple logistic regression analysis (Backward Wald)...
<p>This table shows the coefficients of the logistic regression model that results from backward var...
<p><sup>a</sup>aOR: adjusted odds ratio.</p><p><sup>b</sup> CI: confidence interval.</p><p>The best ...
Backward logistic regression model showing the predicting factor of mortality in patients having fac...
<p>Values with the 0-m buffer were based on calculations generated without buffers. Bold text denote...
<p>Coefficient of determination R<sup>2</sup> (training set/validation set in the multivariate model...
Multivariable Firth’s Bias-Reduced Logistic Regression analysis of risk factors.</p
Multivariable logistic regression models for factors associated with ≥1 missed opportunities.</p
<p>Multiple linear regression model (backward stepwise elimination using bootstrapping) of relative ...
<p>Abbreviation: Coef = Coefficient</p><p>—Predictors removed in backward elimination procedure and ...
Statistical models are simple mathematical rules derived from empirical data describing the associat...
<p>Random Forest backward elimination procedure to further eliminate the cytokines that may be unimp...
<p>This table shows the coefficients of the logistic regression model that results from backward var...
<p>Note. Logistic regression modelling with stepwise backwards selection. Potential predictor variab...
<p>(<b>A</b>) MSE of LOOCV as a function of number of the eliminated variables via the backward elim...
<p>*<i>Exp (B) gives the Odds Ratio.</i></p><p>Multiple logistic regression analysis (Backward Wald)...
<p>This table shows the coefficients of the logistic regression model that results from backward var...
<p><sup>a</sup>aOR: adjusted odds ratio.</p><p><sup>b</sup> CI: confidence interval.</p><p>The best ...
Backward logistic regression model showing the predicting factor of mortality in patients having fac...
<p>Values with the 0-m buffer were based on calculations generated without buffers. Bold text denote...
<p>Coefficient of determination R<sup>2</sup> (training set/validation set in the multivariate model...
Multivariable Firth’s Bias-Reduced Logistic Regression analysis of risk factors.</p
Multivariable logistic regression models for factors associated with ≥1 missed opportunities.</p
<p>Multiple linear regression model (backward stepwise elimination using bootstrapping) of relative ...
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