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Constructing and Modifying Sequence Statistics for<b>relevent</b>Using<b>informR</b>in<i>R</i> -н Christopher Steven Marcum, Carter T. Butts

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rhDNase as an example of recurrent event analysis -н Terry M. Therneau, Scott Hamilton

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Striking a balance: analyzing unbalanced event-related potential data -н Roni Tibon, Daniel A. Levy

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Comparing data mining methods on the VAERS database -н David Banks, Emily Jane Woo, Dale R. Burwen, Phil Perucci, M. Miles Braun, Robert Ball

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Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis -н Stefan Dietrich, Anna Floegel, Martina Troll, Tilman Kühn, Wolfgang Rathmann, Annette Peters, Disorn Sookthai, Martin von Bergen�, Rudolf Kaaks, Jerzy Adamski, Cornelia Prehn, Heiner Boeing, Matthias B. Schulze, Thomas Illig, Tobias Pischon, Sven Knüppel, Rui Wang‐Sattler, Dagmar Drogan

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Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting -н Philipp Bruland, Mark McGilchrist, Éric Zapletal, Dionisio Acosta, Johann Proeve, Scott Askin, Thomas Ganslandt, Justin Doods, Martin Dugas

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Using electronic medical record data to report laboratory adverse events -н Tamara P. Miller, Yimei Li, Kelly Getz, Jesse Dudley, Evanette Burrows, Jeffrey W. Pennington, Azada Ibrahimova, Brian T. Fisher, Rochelle Bagatell, Alix E. Seif, Robert W. Grundmeier, Richard Aplenc

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Prediction of Conversion to Alzheimer’s Disease with Longitudinal Measures and Time-To-Event Data -н Kan Li, Wenyaw Chan, Rachelle S. Doody, Joseph F. Quinn, Sheng Luo

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Characterizing electronic health record usage patterns of inpatient medicine residents using event log data -н Jason K. Wang, David Ouyang, Jason Hom, Jeffrey Chi, Jonathan H. Chen

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The<i>R</i>Package<b>JMbayes</b>for Fitting Joint Models for Longitudinal and Time-to-Event Data Using MCMC -н Dimitris Rizopoulos

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A Fast and Accurate Method for Genome-Wide Time-to-Event Data Analysis and Its Application to UK Biobank -н Wenjian Bi, Lars G. Fritsche, Bhramar Mukherjee, Sehee Kim, Seunggeun Lee

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Methods to Analyse Time‐to‐Event Data: The Kaplan‐Meier Survival Curve -н Graziella D’Arrigo, Daniela Leonardis, Samar Abd ElHafeez, Maria Fusaro, Giovanni Tripepi, Stefanos Roumeliotis

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Late Outcomes of Permanent Pacemaker Implantation After TAVR: Meta-analysis of Reconstructed Time-to-Event Data -н Michel Pompeu Sá, Xander Jacquemyn, Tian Sun, Jef Van den Eynde, Panagiotis Tasoudis, Ozgun Erten, Serge Sicouri, Gianluca Torregrossa, Marie‐Annick Clavel, Philippe Pîbarot, Basel Ramlawi

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The Utility of Multistate Models: A Flexible Framework for Time-to-Event Data -н Jennifer Le‐Rademacher, Terry M. Therneau, Fang‐Shu Ou

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Application of machine learning in predicting survival outcomes involving real-world data: a scoping review -н Yinan Huang, Jieni Li, Mai Suan Li, Rajender R. Aparasu

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CoronaNetDataScience/corona_tscs: Releasing new data fields in event dataset -н Cindy Cheng, Luca Messerschmidt, Joan Barceló, Vanja Grujić, Allison Spencer Hartnett, Robert Kubinec, Timothy Model, Caress Schenk, Svanhildur Thorvaldsdottir

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A Real-World Data Analysis of Alglucosidase Alfa in the FDA Adverse Event Reporting System (FAERS) Database -н Yin Yi, Jie Jiang, Youpeng Jin

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