Risk of falling in older women

Laura Armas, Joan M. Lappe, Veronica J. Slavik, Kellan Slattery, Shih-Chuan Cheng, Davender S. Malik, John N. Mordeson

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We propose a weighted average approach to measure the risk of falling in older women. We consider four causal variables of falling, namely serum 25-OHD levels, medication use, fracture, and age. We use five methods to derive linear equations with these four factors as independent variables in the linear equations with risk of falling as the dependent variable.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalNew Mathematics and Natural Computation
Volume11
Issue number1
DOIs
StatePublished - Mar 25 2015

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Linear equations
Linear equation
Weighted Average
Dependent

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Computational Mathematics
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Human-Computer Interaction

Cite this

Risk of falling in older women. / Armas, Laura; Lappe, Joan M.; Slavik, Veronica J.; Slattery, Kellan; Cheng, Shih-Chuan; Malik, Davender S.; Mordeson, John N.

In: New Mathematics and Natural Computation, Vol. 11, No. 1, 25.03.2015, p. 1-12.

Research output: Contribution to journalArticle

Armas, Laura ; Lappe, Joan M. ; Slavik, Veronica J. ; Slattery, Kellan ; Cheng, Shih-Chuan ; Malik, Davender S. ; Mordeson, John N. / Risk of falling in older women. In: New Mathematics and Natural Computation. 2015 ; Vol. 11, No. 1. pp. 1-12.
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