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Developing explicit risk models for predicting low-back disability: A statistical perspective by Patrick G. Dempsey; Peter H. Westfall is a Psychology article available to read on EtoBox.

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Despite extensive research efforts, disability due to work-related low-back disorders continues to pose a significant economic burden to industry, and significant pain and economic loss to workers. Numerous epidemiological studies have been conducted, but many of these studies have resulted in qualitative guidelines rather than explicit quantitative guidelines. Furthermore, there is considerable disagreement and controversy concerning the validity of manual materials handling criteria based on biomechanical, physiological, and psychophysical theory and research. There is a pressing need for epidemiological field evaluation of such criteria, as well as epidemiologically-based models that provide estimates of low-back disability risk given a set of task, workplace and worker characteristics. A critical tool in such investigations is the statistical method chosen to model risk. The statistical appropriateness of previously used methods are reviewed and critiqued. A fairly comprehensive discussion of the statistical models available for modeling disability risk is then presented, with a focus on models that provide explicit estimates of risk. Recent advances in computer speed have sign

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Author

Patrick G. Dempsey; Peter H. Westfall

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0169-8141)

Published

1997

Language

EN

Field

Psychology (Social Sciences)