Objectives: The aim of this study was to quantify the impact of predictor measurement heterogeneity on prediction model performance. Predictor measurement heterogeneity refers to variation in the measurement of predictor(s) between the derivation of a prediction model and its validation or application. It arises, for instance, when predictors are measured using different measurement instruments or protocols. Study Design and Setting: We examined the effects of various scenarios of predictor measurement heterogeneity in r
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
Background Clinical prediction models should be validated before implementation in clinical practice...
OBJECTIVE: To quantify the impact of predictor measurement heterogeneity on prediction model perform...
It is widely acknowledged that the predictive performance of clinical prediction models should be st...
Objective Measurement error in predictor variables may threaten the validity of clinical prediction...
markdownabstractWilliam Osler noted in 1893 that “If it were not for the great variability between i...
Background and Objective: Diagnostic and prognostic prediction models often perform poorly when exte...
Prediction models often yield inaccurate predictions for new individuals. Large data sets from poole...
Prediction models often yield inaccurate predictions for new individuals. Large data sets from poole...
This code accompanies the paper "Changing predictor measurement procedures affected the performance ...
<p>Prediction models play an increasingly important role in clinical and shared decision making. In ...
Objectives Our aim was to improve meta-analysis methods for summarizing a prediction model's perform...
If individual participant data are available from multiple studies or clusters, then a prediction mo...
Objectives To empirically assess the relation between study characteristics and prognostic model per...
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
Background Clinical prediction models should be validated before implementation in clinical practice...
OBJECTIVE: To quantify the impact of predictor measurement heterogeneity on prediction model perform...
It is widely acknowledged that the predictive performance of clinical prediction models should be st...
Objective Measurement error in predictor variables may threaten the validity of clinical prediction...
markdownabstractWilliam Osler noted in 1893 that “If it were not for the great variability between i...
Background and Objective: Diagnostic and prognostic prediction models often perform poorly when exte...
Prediction models often yield inaccurate predictions for new individuals. Large data sets from poole...
Prediction models often yield inaccurate predictions for new individuals. Large data sets from poole...
This code accompanies the paper "Changing predictor measurement procedures affected the performance ...
<p>Prediction models play an increasingly important role in clinical and shared decision making. In ...
Objectives Our aim was to improve meta-analysis methods for summarizing a prediction model's perform...
If individual participant data are available from multiple studies or clusters, then a prediction mo...
Objectives To empirically assess the relation between study characteristics and prognostic model per...
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
BACKGROUND: Prediction modeling studies often have methodological limitations, which may compromise ...
Background Clinical prediction models should be validated before implementation in clinical practice...