Your browser doesn't support javascript.
loading
Predicting population level hip fracture risk: a novel hierarchical model incorporating probabilistic approaches and factor of risk principles.
Martel, Daniel R; Lysy, Martin; Laing, Andrew C.
Affiliation
  • Martel DR; Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada.
  • Lysy M; Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
  • Laing AC; Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada.
Comput Methods Biomech Biomed Engin ; 23(15): 1201-1214, 2020 Nov.
Article in En | MEDLINE | ID: mdl-32687412
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Probability / Hip Fractures / Models, Biological Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Comput Methods Biomech Biomed Engin Journal subject: ENGENHARIA BIOMEDICA / FISIOLOGIA Year: 2020 Type: Article Affiliation country: Canada
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Probability / Hip Fractures / Models, Biological Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Comput Methods Biomech Biomed Engin Journal subject: ENGENHARIA BIOMEDICA / FISIOLOGIA Year: 2020 Type: Article Affiliation country: Canada