Comparison of the accuracy of multiple regression analysis using four methods to predict the functional independence measure at discharge-Reference-Cited by-同舟云学术

Comparison of the accuracy of multiple regression analysis using four methods to predict the functional independence measure at discharge

Published:2020 Issue:0 Volume:11 Page:65-72
ISSN:2185-5323
Container-title:Japanese Journal of Comprehensive Rehabilitation Science
language:en
Short-container-title:Jpn J Compr Rehabil Sci

Author:

Tokunaga Makoto¹,Yamanaga Hiroaki¹

Affiliation:

1. Department of Rehabilitation Medicine, Kumamoto Kinoh Hospital

Publisher

Kaifukuki Rehabilitation Ward Association

Link

https://www.jstage.jst.go.jp/article/jjcrs/11/0/11_65/_pdf

Reference18 articles.

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3. 3. Chumney D, Nollinger K, Shesko K, Skop K, Spencer M, Newton RA. Ability of Functional Independence Measure to accurately predict functional outcome of stroke-specific population: systematic review. J Rehabil Res Dev 2010; 47: 17-29.

4. 4. Meyer MJ, Pereira S, McClure A, Teasell R, Thind A, Koval J, et al. A systematic review of studies reporting multivariable models to predict functional outcomes after post-stroke inpatient rehabilitation. Disabil Rehabil 2015; 37: 1316-23.

5. 5. Tokunaga M, Hashimoto Y, Watanabe S, Nakanishi R, Yamanaga H, Yonemitsu K, et al. Methods for improving the predictive accuracy using multiple linear regression analysis to predict the improvement degree of Functional Independence Measure for stroke patients. Int J Phys Med Rehabil 2017; 5: 414.

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