<p>Penalized logistic regression prediction results for burnout, exhaustion and disengagement (n = 57).</p
<p>Results of logistic regression analysis for prediction current (at inclusion) and long-term respo...
Comparisons of the prediction performance of Catboost model and logistic regression model.</p
<p>Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...
Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p
Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p
Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p
Logistic regression predicting the likelihood of reporting meaningful depressive symptoms.</p
Logistic regression analysis for predictors of unfavourable neurological outcome.</p
Logistic regression predicting likelihood of being in the resilience and chronic dysfunctional outco...
Multiple binomial logistic regression analysis to predict burnout vs. control by coping styles (CISS...
Univariate logistic regression for predictors of general symptoms regression compared to no change o...
Results of multiple linear regression analysis (stepwise regression) for burnout predictors.</p
Binary logistic regression analysis between occupational burnout and the two general questions on qu...
Coefficients from logistic regression model predicting final unfavorable treatment outcome based on ...
Binomial logistic regression analysis of the predictive factors for the BAL recovery rate failure.</...
<p>Results of logistic regression analysis for prediction current (at inclusion) and long-term respo...
Comparisons of the prediction performance of Catboost model and logistic regression model.</p
<p>Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...
Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p
Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p
Binary logistic regression for the factors associated with burnout, resilience, and empowerment.</p
Logistic regression predicting the likelihood of reporting meaningful depressive symptoms.</p
Logistic regression analysis for predictors of unfavourable neurological outcome.</p
Logistic regression predicting likelihood of being in the resilience and chronic dysfunctional outco...
Multiple binomial logistic regression analysis to predict burnout vs. control by coping styles (CISS...
Univariate logistic regression for predictors of general symptoms regression compared to no change o...
Results of multiple linear regression analysis (stepwise regression) for burnout predictors.</p
Binary logistic regression analysis between occupational burnout and the two general questions on qu...
Coefficients from logistic regression model predicting final unfavorable treatment outcome based on ...
Binomial logistic regression analysis of the predictive factors for the BAL recovery rate failure.</...
<p>Results of logistic regression analysis for prediction current (at inclusion) and long-term respo...
Comparisons of the prediction performance of Catboost model and logistic regression model.</p
<p>Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...
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