Add to ORKGAlthough the area under the receiver operating characteristic (AUC) is the most popular measure of the performance of prediction models, it has limitations, especially when it is used to evaluate the added discrimination of a new biomarker in the model. Pencina et al. (2008) proposed two indices, the net reclassification improvement (NRI) and integrated discrimination improvement (IDI), to supplement the improvement in the AUC (IAUC). Their NRI and IDI are based on binary outcomes in case-control settings, which do not involve time-to-event outcome. However, many disease outcomes are time-dependent and the onset time can be censored. Measuring discrimination potential of a prognostic marker without considering time to event can lead to bias...
markdownabstractIntroduction For the last three decades, clinical prediction models have mainly b...
Public health practice and quality of medical care rely heavily on the accuracy, precision, and robu...
Thesis (Ph.D.)--University of Washington, 2015In this dissertation we develop new methods for quanti...
Although the area under the receiver operating characteristic (AUC) is the most popular measure of t...
textabstractThe performance of prediction models can be assessed using a variety of methods and metr...
The performance of prediction models can be assessed using a variety of methods and metrics. Traditi...
Background New markers may improve prediction of diagnostic and prognostic outcomes. We review vario...
Thesis (Ph.D.)--Boston University, 2012.PLEASE NOTE: Boston University Libraries did not receive an ...
The discrimination of a risk prediction model measures that model’s ability to distinguish between s...
International audienceFinding out biomarkers and building risk scores to predict the occurrence of s...
Background New markers may improve prediction of diagnostic and prognostic outcomes. We review vario...
Appropriate quantification of added usefulness offered by new markers included in risk prediction al...
<p>IDI and cfNRI refer to the improved classification of patient using the reference model and the n...
To derive models suitable for outcome prediction, a crucial aspect is the availability of appropriat...
In this paper, we extend the definitions of the net reclassification improvement (NRI) and the integ...
markdownabstractIntroduction For the last three decades, clinical prediction models have mainly b...
Public health practice and quality of medical care rely heavily on the accuracy, precision, and robu...
Thesis (Ph.D.)--University of Washington, 2015In this dissertation we develop new methods for quanti...
Although the area under the receiver operating characteristic (AUC) is the most popular measure of t...
textabstractThe performance of prediction models can be assessed using a variety of methods and metr...
The performance of prediction models can be assessed using a variety of methods and metrics. Traditi...
Background New markers may improve prediction of diagnostic and prognostic outcomes. We review vario...
Thesis (Ph.D.)--Boston University, 2012.PLEASE NOTE: Boston University Libraries did not receive an ...
The discrimination of a risk prediction model measures that model’s ability to distinguish between s...
International audienceFinding out biomarkers and building risk scores to predict the occurrence of s...
Background New markers may improve prediction of diagnostic and prognostic outcomes. We review vario...
Appropriate quantification of added usefulness offered by new markers included in risk prediction al...
<p>IDI and cfNRI refer to the improved classification of patient using the reference model and the n...
To derive models suitable for outcome prediction, a crucial aspect is the availability of appropriat...
In this paper, we extend the definitions of the net reclassification improvement (NRI) and the integ...
markdownabstractIntroduction For the last three decades, clinical prediction models have mainly b...
Public health practice and quality of medical care rely heavily on the accuracy, precision, and robu...
Thesis (Ph.D.)--University of Washington, 2015In this dissertation we develop new methods for quanti...