Your browser doesn't support javascript.
loading
Identifying and understanding determinants of high healthcare costs for breast cancer: a quantile regression machine learning approach.
Hu, Liangyuan; Li, Lihua; Ji, Jiayi; Sanderson, Mark.
Affiliation
  • Hu L; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, One Gustave L. Levy Place, Box 1077, New York, NY, 10029, USA. liangyuan.hu@mountsinai.org.
  • Li L; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, One Gustave L. Levy Place, Box 1077, New York, NY, 10029, USA.
  • Ji J; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, One Gustave L. Levy Place, Box 1077, New York, NY, 10029, USA.
  • Sanderson M; Department of Health System Design and Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
BMC Health Serv Res ; 20(1): 1066, 2020 Nov 23.
Article in En | MEDLINE | ID: mdl-33228683
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Health_economic_evaluation / Prognostic_studies Limits: Aged / Humans Country/Region as subject: America do norte Language: En Journal: BMC Health Serv Res Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2020 Document type: Article Affiliation country: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Health_economic_evaluation / Prognostic_studies Limits: Aged / Humans Country/Region as subject: America do norte Language: En Journal: BMC Health Serv Res Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2020 Document type: Article Affiliation country: United States