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...
- 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