Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Samuel M. Gross"'
Autor:
Balasubramanian Narasimhan, Daniel L. Rubin, Samuel M. Gross, Marina Bendersky, Philip W. Lavori
Publikováno v:
Journal of Statistical Software, Vol 77, Iss 1, Pp 1-22 (2017)
Bringing together the information latent in distributed medical databases promises to personalize medical care by enabling reliable, stable modeling of outcomes with rich feature sets (including patient characteristics and treatments received). Howev
Externí odkaz:
https://doaj.org/article/0242e0f526034d458d42609787096456
Autor:
Samuel M. Gross, Marina Bendersky, Philip W. Lavori, Daniel L. Rubin, Balasubramanian Narasimhan
Publikováno v:
Journal of Statistical Software, Vol 77, Iss 1, Pp 1-22 (2017)
Journal of Statistical Software; Vol 77 (2017); 1-22
Journal of Statistical Software; Vol 77 (2017); 1-22
Bringing together the information latent in distributed medical databases promises to personalize medical care by enabling reliable, stable modeling of outcomes with rich feature sets (including patient characteristics and treatments received). Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bed8b9dacc154f536cf7dccb39d3a808
https://www.jstatsoft.org/index.php/jss/article/view/3119
https://www.jstatsoft.org/index.php/jss/article/view/3119
Autor:
Samuel M. Gross, Robert Tibshirani
A model is presented for the supervised learning problem where the observations come from a fixed number of pre-specified groups, and the regression coefficients may vary sparsely between groups. The model spans the continuum between individual model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09d4aa619e065156b2e326f00d7fc4f5
https://europepmc.org/articles/PMC5650251/
https://europepmc.org/articles/PMC5650251/
