To evaluate limitations of common statistical modeling approaches in deriving clinical prediction models and explore alternative strategies.status: publishe
Background: We investigated the reporting and methods of prediction studies, focusing on aims, desig...
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
IMPORTANCE Prognostication is an important aspect of clinical decision-making, but it is often chall...
To evaluate limitations of common statistical modeling approaches in deriving clinical prediction mo...
Prediction models aim to use available data to predict a health state or outcome that has not yet be...
Introduction It is known that only a limited proportion of developed clinical prediction models (CPM...
Prediction models aim to use available data to predict a health state or outcome that has not yet be...
Background Clinical prediction models should be validated before implementation in clinical practice...
AbstractStepwise regression procedures are often used to identify a small set of variables that serv...
It is widely acknowledged that the predictive performance of clinical prediction models should be st...
Prediction models have the potential to positively influence clinical decision-making and thus the o...
BACKGROUND: We investigated the reporting and methods of prediction studies, focusing on aims, desig...
Background: We investigated the reporting and methods of prediction studies, focusing on aims, desig...
textabstractBackground: We investigated the reporting and methods of prediction studies, focusing on...
Massive numbers of new prediction models have been published over the past two decades and the numbe...
Background: We investigated the reporting and methods of prediction studies, focusing on aims, desig...
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
IMPORTANCE Prognostication is an important aspect of clinical decision-making, but it is often chall...
To evaluate limitations of common statistical modeling approaches in deriving clinical prediction mo...
Prediction models aim to use available data to predict a health state or outcome that has not yet be...
Introduction It is known that only a limited proportion of developed clinical prediction models (CPM...
Prediction models aim to use available data to predict a health state or outcome that has not yet be...
Background Clinical prediction models should be validated before implementation in clinical practice...
AbstractStepwise regression procedures are often used to identify a small set of variables that serv...
It is widely acknowledged that the predictive performance of clinical prediction models should be st...
Prediction models have the potential to positively influence clinical decision-making and thus the o...
BACKGROUND: We investigated the reporting and methods of prediction studies, focusing on aims, desig...
Background: We investigated the reporting and methods of prediction studies, focusing on aims, desig...
textabstractBackground: We investigated the reporting and methods of prediction studies, focusing on...
Massive numbers of new prediction models have been published over the past two decades and the numbe...
Background: We investigated the reporting and methods of prediction studies, focusing on aims, desig...
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
IMPORTANCE Prognostication is an important aspect of clinical decision-making, but it is often chall...
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