Risk prediction for ALS using semi-competing risk models with applications to the ALS Natural History Consortium dataset.

Arguedas, Andres; Schneck, David; Cui, Erjia; Xenopoulos-Oddsson, Annette; Arcila-Londono, Ximena; Lunetta, Christian; Wymer, James; Olney, Nicholas T; Gwathmey, Kelly; Ajroud-Driss, Senda; Hayat, Ghazala; Heiman-Patterson, Terry; Cerri, Federica; Fournier, Christina; Glass, Jonathan; Sherman, Alex; Walk, David; Fiecas, Mark

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oai:digitalcommons.providence.org:publications-11221

Risk prediction for ALS using semi-competing risk models with applications to the ALS Natural History Consortium dataset.

Authors: Andres Arguedas
David Schneck
Erjia Cui
Annette Xenopoulos-Oddsson
Ximena Arcila-Londono
Christian Lunetta
James Wymer
Nicholas T Olney
Kelly Gwathmey
Senda Ajroud-Driss
Ghazala Hayat
Terry Heiman-Patterson
Federica Cerri
Christina Fournier
Jonathan Glass
Alex Sherman
David Walk
Mark Fiecas
Publication date: 1 August 2025
Publisher: Providence Digital Commons
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Last time updated on 05/10/2025

This paper was published in Providence St. Joseph Health Digital Commons.

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