<p>The predictive value is represented by the likelihood ratio <i>χ</i><sup>2</sup> statistic. The model comprising CoP ML-SD alone had 44% of the explanatory power of the full model. Put otherwise, nearly half the prognostic information of the full model (comprising conventional and ML-SD variables) may be attributed to ML-SD. Furthermore, ML-SD added statistically significant predictive information (<i>P</i><0.001) to a model that comprised only conventional measures.</p
<p>*p Values are based on the Chi square test for comparisons between AP and AC model with the full ...
(A) Log-likelihood ratio of model against the null random baseline model based on predicting histori...
Model predictions for participants choosing the predicted information compared to the alternative in...
Medical researchers frequently make statements that one model pre- dicts survival better than anothe...
IntroductionThis study considers the prediction of the time until two survival outcomes have both oc...
* indicates statistical significance (“*” indicates p-value ns not statistically significant.</p
Medical researchers frequently make statements that one model predicts survival better than another,...
Medical researchers frequently make statements that one model predicts survival better than another,...
Significance-based models. The table reports percentage of time one model yields better/worse predic...
<p>Results from the final multivariate model for predictor of PND, using Multivariate Adjusted Odds ...
Abstract A prognostic model to determine an association between survival outcomes and clinical risk ...
<p>We simulate 1,000 meta-analysis of 10 studies with varying sample sizes where only a subset of th...
*<p>baseline comparator group.</p>**<p>Adjusted odds ratio represents the incremental odds of CM for...
<p>Assessment of model calibration: Observed (Kaplan Meier, black) versus predicted (Cox, gray) surv...
The predictive capacity of a marker in a population can be described using the population distributi...
<p>*p Values are based on the Chi square test for comparisons between AP and AC model with the full ...
(A) Log-likelihood ratio of model against the null random baseline model based on predicting histori...
Model predictions for participants choosing the predicted information compared to the alternative in...
Medical researchers frequently make statements that one model pre- dicts survival better than anothe...
IntroductionThis study considers the prediction of the time until two survival outcomes have both oc...
* indicates statistical significance (“*” indicates p-value ns not statistically significant.</p
Medical researchers frequently make statements that one model predicts survival better than another,...
Medical researchers frequently make statements that one model predicts survival better than another,...
Significance-based models. The table reports percentage of time one model yields better/worse predic...
<p>Results from the final multivariate model for predictor of PND, using Multivariate Adjusted Odds ...
Abstract A prognostic model to determine an association between survival outcomes and clinical risk ...
<p>We simulate 1,000 meta-analysis of 10 studies with varying sample sizes where only a subset of th...
*<p>baseline comparator group.</p>**<p>Adjusted odds ratio represents the incremental odds of CM for...
<p>Assessment of model calibration: Observed (Kaplan Meier, black) versus predicted (Cox, gray) surv...
The predictive capacity of a marker in a population can be described using the population distributi...
<p>*p Values are based on the Chi square test for comparisons between AP and AC model with the full ...
(A) Log-likelihood ratio of model against the null random baseline model based on predicting histori...
Model predictions for participants choosing the predicted information compared to the alternative in...