Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types

There is an emerging need in clinical research to accurately predict patients’ disease status and disease progression by optimally integrating multivariate clinical information. Clinical data are often collected over time for multiple biomarkers of different types (e.g. continuous, binary and counts...

Descripción completa

Detalles Bibliográficos
Autores principales: Hughes, David M, Komárek, Arnošt, Czanner, Gabriela, Garcia-Fiñana, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Regular Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985589/
https://www.ncbi.nlm.nih.gov/pubmed/27789653
http://dx.doi.org/10.1177/0962280216674496

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985589/
https://www.ncbi.nlm.nih.gov/pubmed/27789653
http://dx.doi.org/10.1177/0962280216674496

Ejemplares similares