Publications by Consortium Member Investigators
The natural history of ALS: Baseline characteristics from a multicenter clinical cohort
Authors: Berger A, Locatelli M, Arcila-Londono X, Hayat G, Olney N, Wymer J, Gwathmey K, Lunetta C, Heiman-Patterson T, Ajroud-Driss S, Macklin EA, Bind MA, Goslin K, Stuchiner T, Brown L, Bazan T, Regan T, Adamo A, Ferment V, Schroeder C, Somers M, Manousakis G, Faulconer K, Sinani E, Mirochnick J, Yu H, Sherman AV, and Walk D.
Published: July 2023 (online)
Journal: Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration
Time-to-event prediction in ALS using a landmark modeling approach, using the ALS Natural History Consortium dataset.
Authors: Schneck D, Arguedas A, Xenopoulos-Oddsson A, Arcila-Londono X, Lunetta C, Wymer J, Olney N, Gwathmey K, Ajroud-Driss S, Hayat G, Heiman-Patterson T, Cerri F, Fournier C, Glass J, Sherman A, Fiecas M, and Walk D.
Published: March 2025
Journal: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
Risk prediction for ALS using semi-competing risk models with applications to the ALS Natural History Consortium dataset.
Authors: Arguedas A, Schneck D, Cui E, Xenopoulos-Oddsson A, Arcila-Londono X, Lunetta C, Wymer J, Olney N, Gwathmey K, Ajroud-Driss S, Hayat G, Heiman-Patterson T, Cerri F, Fournier C, Glass J, Sherman A, Walk D, and Fiecas M.
Published: April 2025
Journal: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
Other Publications Using the Dataset
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data
Authors: Ramamoorthy D, Severson K, Ghosh S, Sachs K, Glass JD, Fournier CN, Herrington TM, Berry JD, and Ng K FE.
Published: September 2022
Journal: Nature Computational Science