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Statistics in Medicine|June 10, 2024
Bayesian transition models for ordinal longitudinal outcomesMaximilian D Rohde, Benjamin French, Thomas G Stewart, et al.American Heart Journal|April 8, 2003
Anticoagulation in acute cardiac care in patients with chronic kidney diseaseDonal Reddan, Lynda A Szczech, Susan O'Shea, et al.Circulation|January 25, 2019
Call to Action: Urgent Challenges in Cardiovascular Disease: A Presidential Advisory From the American Heart AssociationMark McClellan, Nancy Brown, Robert M Califf, et al.Therapeutic Innovation & Regulatory Science|May 20, 2025
Recent Updates to the Declaration of Helsinki: A View from the U.S. Food and Drug AdministrationRobert M Califf, Ann Meeker-O'Connell, Shari Targum, et al.Scientific Reports|June 6, 2022
Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressurePeter C Austin, Frank E Harrell, Douglas S Lee, et al.Statistics in Medicine|December 7, 2019
An empirical comparison of two novel transformation modelsYuqi Tian, Torsten Hothorn, Chun Li, et al.Journal of the American College of Cardiology|November 16, 2004
A time of accelerated change in academic cardiovascular medicine: implications for academic divisions of cardiology and their training programsRobert M Califf, Thomas Ryan, Pamela Douglas, et al.American Heart Journal|March 12, 2011
Cardiovascular research in India: a perspectiveAjay S Vamadevan, Bimal R Shah, Robert M Califf, et al.American Heart Journal|April 13, 2004
Novel approaches to clinical trials: device-related infectionsRobert M Califf, Vance Fowler, Christopher H Cabell, et al.Clinical Trials (London, England)|February 20, 2008
Ensuring trial validity by data quality assurance and diversification of monitoring methodsColin Baigent, Frank E Harrell, Marc Buyse, et al.Pageof 75