<p><sup>a</sup> Predictors in the Model: (Constant), MOCA.</p><p><sup>b</sup> Predictors in the Model: (Constant), MOCA, SAS.</p
Overview of the included studies with the type of ML prediction models development without conductin...
<p><sup>*</sup>Four samples from phenotype categories 3 and 4 lacked data in one of the following SN...
Predictors of PCS and MCS estimated by multiple imputation of multivariable linear regression analys...
<p><sup>a</sup> Predictors in the Model: (Constant), chemotherapy.</p><p><sup>b</sup> Dependent Vari...
<p>All variables are binary, and not continuous.</p><p>Predictor variables identified from the univa...
Predictors considered, and how they are represented in CPRD and in our models.</p
<p>Predictor variables included in models using the landscape-scale and the site-scale datasets.</p
The predictors that are selected by the SIS prediction model and corresponding odds ratios.</p
***<p>Predictor variables where p>0.25 in the bivariate analyses were excluded from the multivariate...
Logistic mixed-effect models for single predictors (excluding function words).</p
<p>Coefficient of determination R<sup>2</sup> (training set/validation set in the multivariate model...
<p>Predicted (a) mean and (b) standard deviation of the relative probability of presence of VL and (...
Results of the excluded variables according to the multiple linear regression analysis for burnout p...
<p>A: Variables importance for the projection (VIP) of Hose pulling work capacity, using the trainin...
<p>Jacknife analysis for <i>Montipora</i>, <i>Leptoseris</i> and <i>Porites</i> showing the mean AUC...
Overview of the included studies with the type of ML prediction models development without conductin...
<p><sup>*</sup>Four samples from phenotype categories 3 and 4 lacked data in one of the following SN...
Predictors of PCS and MCS estimated by multiple imputation of multivariable linear regression analys...
<p><sup>a</sup> Predictors in the Model: (Constant), chemotherapy.</p><p><sup>b</sup> Dependent Vari...
<p>All variables are binary, and not continuous.</p><p>Predictor variables identified from the univa...
Predictors considered, and how they are represented in CPRD and in our models.</p
<p>Predictor variables included in models using the landscape-scale and the site-scale datasets.</p
The predictors that are selected by the SIS prediction model and corresponding odds ratios.</p
***<p>Predictor variables where p>0.25 in the bivariate analyses were excluded from the multivariate...
Logistic mixed-effect models for single predictors (excluding function words).</p
<p>Coefficient of determination R<sup>2</sup> (training set/validation set in the multivariate model...
<p>Predicted (a) mean and (b) standard deviation of the relative probability of presence of VL and (...
Results of the excluded variables according to the multiple linear regression analysis for burnout p...
<p>A: Variables importance for the projection (VIP) of Hose pulling work capacity, using the trainin...
<p>Jacknife analysis for <i>Montipora</i>, <i>Leptoseris</i> and <i>Porites</i> showing the mean AUC...
Overview of the included studies with the type of ML prediction models development without conductin...
<p><sup>*</sup>Four samples from phenotype categories 3 and 4 lacked data in one of the following SN...
Predictors of PCS and MCS estimated by multiple imputation of multivariable linear regression analys...
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