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Kristin A Linn

Showing results (1-10 of 73) with videos related to

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Observational Studies|May 11, 2026
Review of <i>Handbook of Statistical Methods for Precision Medicine</i> (edited by Eric Laber, Bibhas Chakraborty, Erica E.M. Moodie, Tianxi Cai, and Mark van der Laan)Kristin A Linn
Statistics in Medicine|July 27, 2023
Estimation and evaluation of individualized treatment rules following multiple imputationJenny Shen, Rebecca A Hubbard, Kristin A Linn
JAMA Network Open|November 7, 2023
Algorithmic Fairness of Machine Learning Models for Alzheimer Disease ProgressionChenxi Yuan, Kristin A Linn, Rebecca A Hubbard
Epidemiology (Cambridge, Mass.)|February 1, 2023
Performance of Multiple Imputation Using Modern Machine Learning Methods in Electronic Health Records DataKylie Getz, Rebecca A Hubbard, Kristin A Linn
Biometrika|December 27, 2014
Interactive model building for <i>Q</i>-learningEric B Laber, Kristin A Linn, Leonard A Stefanski
Journal of Statistical Software|February 23, 2016
iqLearn: Interactive Q-Learning in RKristin A Linn, Eric B Laber, Leonard A Stefanski
Journal of the American Statistical Association|September 12, 2017
Interactive Q-learning for QuantilesKristin A Linn, Eric B Laber, Leonard A Stefanski
JAMA Internal Medicine|May 4, 2026
Which Nudges Matter Most for Scalable Influenza Vaccination?-ReplyKimberly J Waddell, Kristin A Linn, Shivan J Mehta
Statistics in Medicine|July 15, 2025
Integrating Misclassified EHR Outcomes With Validated Outcomes From a Non-Probability SampleJenny Shen, Dane Isenberg, Kristin A Linn, et al.
Biorxiv : the Preprint Server for Biology|February 24, 2023
Multivariate Residualization in Medical Imaging AnalysisKevin Donovan, Nicholas J Tustison, Kristin A Linn, et al.
Pageof 8

Showing results (1-10 of 73) with videos related to

Sort By:
Pageof 8
Observational Studies|May 11, 2026
Review of <i>Handbook of Statistical Methods for Precision Medicine</i> (edited by Eric Laber, Bibhas Chakraborty, Erica E.M. Moodie, Tianxi Cai, and Mark van der Laan)Kristin A Linn
Statistics in Medicine|July 27, 2023
Estimation and evaluation of individualized treatment rules following multiple imputationJenny Shen, Rebecca A Hubbard, Kristin A Linn
JAMA Network Open|November 7, 2023
Algorithmic Fairness of Machine Learning Models for Alzheimer Disease ProgressionChenxi Yuan, Kristin A Linn, Rebecca A Hubbard
Epidemiology (Cambridge, Mass.)|February 1, 2023
Performance of Multiple Imputation Using Modern Machine Learning Methods in Electronic Health Records DataKylie Getz, Rebecca A Hubbard, Kristin A Linn
Biometrika|December 27, 2014
Interactive model building for <i>Q</i>-learningEric B Laber, Kristin A Linn, Leonard A Stefanski
Journal of Statistical Software|February 23, 2016
iqLearn: Interactive Q-Learning in RKristin A Linn, Eric B Laber, Leonard A Stefanski
Journal of the American Statistical Association|September 12, 2017
Interactive Q-learning for QuantilesKristin A Linn, Eric B Laber, Leonard A Stefanski
JAMA Internal Medicine|May 4, 2026
Which Nudges Matter Most for Scalable Influenza Vaccination?-ReplyKimberly J Waddell, Kristin A Linn, Shivan J Mehta
Statistics in Medicine|July 15, 2025
Integrating Misclassified EHR Outcomes With Validated Outcomes From a Non-Probability SampleJenny Shen, Dane Isenberg, Kristin A Linn, et al.
Biorxiv : the Preprint Server for Biology|February 24, 2023
Multivariate Residualization in Medical Imaging AnalysisKevin Donovan, Nicholas J Tustison, Kristin A Linn, et al.
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