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Original Articles

Statistical Considerations in the Development of Injury Risk Functions

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Pages 618-626 | Received 11 Jul 2014, Accepted 20 Nov 2014, Published online: 12 Mar 2015
 

Abstract

Objective: We address 4 frequently misunderstood and important statistical ideas in the construction of injury risk functions. These include the similarities of survival analysis and logistic regression, the correct scale on which to construct pointwise confidence intervals for injury risk, the ability to discern which form of injury risk function is optimal, and the handling of repeated tests on the same subject.

Methods: The statistical models are explored through simulation and examination of the underlying mathematics.

Results: We provide recommendations for the statistically valid construction and correct interpretation of single-predictor injury risk functions.

Conclusions: This article aims to provide useful and understandable statistical guidance to improve the practice in constructing injury risk functions.

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