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Statistical Analysis of Clinical Prediction Rules for Rehabilitation Interventions: Current State of the Literature  Anat Lubetzky-Vilnai, PT, MSc, Marcia.

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Presentation on theme: "Statistical Analysis of Clinical Prediction Rules for Rehabilitation Interventions: Current State of the Literature  Anat Lubetzky-Vilnai, PT, MSc, Marcia."— Presentation transcript:

1 Statistical Analysis of Clinical Prediction Rules for Rehabilitation Interventions: Current State of the Literature  Anat Lubetzky-Vilnai, PT, MSc, Marcia Ciol, PhD, Sarah Westcott McCoy, PT, PhD, FAPTA  Archives of Physical Medicine and Rehabilitation  Volume 95, Issue 1, Pages (January 2014) DOI: /j.apmr Copyright © 2014 American Congress of Rehabilitation Medicine Terms and Conditions

2 Fig 1 LR+ point estimates and their 95% CI for the 22 studies that used LR+ as the primary outcome. The horizontal line represents the logarithm scale. Solid lines represent 95% CI for estimated LR+ (circle) calculated on the final rule, while dashed lines represent 95% CI for estimates (square) calculated on all predictors retained from multivariable analysis. Missing dashed lines occurred when the authors did not provide information for the rule with all predictors. CIs with identical dashed and solid lines occurred when the final rule used all predictors from the multivariable phase. Lines for reference 26∗ represent the estimates regarding immediate posttreatment in the study by Fernández-de-Las-Peñas et al, and lines for reference 26† represent estimates of 1-month follow-up. Archives of Physical Medicine and Rehabilitation  , DOI: ( /j.apmr ) Copyright © 2014 American Congress of Rehabilitation Medicine Terms and Conditions

3 Archives of Physical Medicine and Rehabilitation 2014 95, 188-196DOI: (10.1016/j.apmr.2013.08.242)
Copyright © 2014 American Congress of Rehabilitation Medicine Terms and Conditions


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