Shifting Towards Teaching How to Communicate Statistics in Medical Education by Lathan Liou, Murray A Mittleman

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Development, evaluation and comparison of machine learning algorithms for predicting in-hospital patient charges for congestive heart failure exacerbations, chronic obstructive pul... by Monique Arnold, Lathan Liou, Mary Regina Boland

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Trumpet plots: visualizing the relationship between allele frequency and effect size in genetic association studies by Lucia Corte, Lathan Liou, Paul F. O’Reilly, Judit García-González

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Real-time prognostic biomarkers for predicting in-hospital mortality and cardiac complications in COVID-19 patients by Rawan Omar, Sooyun Caroline Tavolacci, Lathan Liou, Dillan F. Villavisanis, Yoav Y. Broza, Hossam Haick

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Racial disparities in post-transplant stroke and mortality following stroke in adult cardiac transplant recipients in the United States. by Lathan Liou, Elizabeth Mostofsky, Laura Lehman, Soziema Salia, Suruchi Gupta, Francisco J Barrera, Murray A Mittleman

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Racial disparities in post-transplant stroke and mortality following stroke in adult cardiac transplant recipients in the United States by Lathan Liou, Elizabeth Mostofsky, Laura Lehman, Soziema Salia, Suruchi Gupta, Francisco J. Barrera, Murray A. Mittleman

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Racial and Ethnic Disparities in Incidence and Prognosis of Perioperative Stroke Among Pediatric Cardiac Transplant Recipients by Laura L. Lehman, Elizabeth Mostofsky, Soziema Salia, Suruchi Gupta, Francisco J. Barrera, Lathan Liou, Murray A. Mittleman

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Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era. by Lathan Liou, Elizabeth Mostofsky, Laura Lehman, Soziema Salia, Francisco J Barrera, Ying Wei, Amal Cheema, Anuradha Lala, Andrew Beam, Murray A Mittleman

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Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era by Lathan Liou, Elizabeth Mostofsky, Laura Lehman, Soziema Salia, Francisco J. Barrera, Ying Wei, Amal Cheema, Anuradha Lala, Andrew Beam, Murray A. Mittleman

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Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system by Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert Freeman, Ira S. Hofer, Girish N. Nadkarni, Prem Timsina, Arash Kia, Matthew A. Levin

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