Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics by Tal El-Hay, Jenna M. Reps, Chen Yanover

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Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data by P R Rijnbeek, Patrick Ryan, Jenna M Reps

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Putting external validation performance of major bleeding risk models into context by Clair Blacketer, Clair Blacketer, Jenna M. Reps, Jenna M. Reps, Lu Wang, Patrick B. Ryan, Patrick B. Ryan, Zhong Yuan

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Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data by Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek

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Development and validation of a patient-level model to predict dementia across a network of observational databases by Luis H. John, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Ross D. Williams, Patrick B. Ryan, Peter R. Rijnbeek

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Finding a constrained number of predictor phenotypes for multiple outcome prediction by Patrick B Ryan, Egill A Fridgeirsson, Jenna M Reps, Luis H John, Chungsoo Kim, Jenna Wong, Ross D Williams, Renae R Fisher

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Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network. by Qiong Wang, Jenna M Reps, Kristin Feeney Kostka, Patrick B Ryan, Yuhui Zou, Erica A Voss, Peter R Rijnbeek, RuiJun Chen, Gowtham A Rao, Henry Morgan Stewart, Andrew E Williams, Ross D Williams, Mui Van Zandt, Thomas Falconer, Margarita Fernandez-Chas, Rohit Vashisht, Stephen R Pfohl, Nigam H Shah, Suranga N Kasthurirathne, Seng Chan You, Qing Jiang, Christian Reich, Yi Zhou

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