Using an Anchor to Improve Linear Predictions with Application to Predicting Disease Progression

Linear models are some of the most straightforward and commonly used modelling approaches. Consider modelling approximately monotonic response data arising from a time-related process. If one has knowledge as to when the process began or ended, then one may be able to leverage additionalassumed data...

Full description

Autores:
Karanevich, Alex G.
He, Jianghua
Gajewski, Byron
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/66487
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/66487
http://bdigital.unal.edu.co/67515/
Palabra clave:
51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Anclaje
esclerosis lateral amiotrófica
modelos lineales
mínimos cuadrados ordinarios
regresión sesgada
Anchor
Amyotrophic lateral sclerosis
Biased regression
Linear models
Ordinary least squares
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional