Using rasch motor FIM individual growth curves to inform clinical decisions for persons with paraplegia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Clinical Neurology,Neurology,General Medicine
Link
http://www.nature.com/articles/sc201494.pdf
Reference17 articles.
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2. Horn SD, Smout RJ, DeJong G, Dijkers MP, Hsieh CH, Lammertse D et al. Association of various comorbidity measures with spinal cord injury rehabilitation outcomes. Arch Phys Med Rehabil 2013; 94 (4 Suppl): S75–S86.
3. Wilson JR, Grossman RG, Frankowski RF, Kiss A, Davis AM, Kulkarni AV et al. A clinical prediction model for long-term functional outcome after traumatic spinal cord injury based on acute clinical and imaging factors. J Neurotrauma 2012; 29: 2263–2271.
4. Singer J, Willett J . Applied Longitudinal Data Analysis. Oxford University Press Inc.: Oxford. 2003.
5. Kozlowski AJ, Pretz CR, Dams-O'Connor K, Kreider S, Whiteneck G . An introduction to applying individual growth curve models to evaluate change in rehabilitation: a National Institute on Disability and Rehabilitation Research Traumatic Brain Injury Model Systems Report. Arch Phys Med Rehabil 2013; 94: 589–596.
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