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Edited by
Frederick P. Rivara, Harborview Injury Prevention and Research Center, Seattle,Peter Cummings, Harborview Injury Prevention and Research Center, Seattle,Thomas D. Koepsell, Harborview Injury Prevention and Research Center, Seattle,David C. Grossman, Harborview Injury Prevention and Research Center, Seattle,Ronald V. Maier, Harborview Injury Prevention and Research Center, Seattle
This chapter discusses a number of potentially useful measures with application to cohort studies of injuries. It reviews analytic methods for cohort studies that include crude estimates of risk and relative risk, risk difference or attributable risk, etiologic fraction percent or attributable fraction percent, and multivariate techniques. For illustration purposes, the chapter presents data from a report by Felson and associates on the Framingham Study Cohort that are used to show the effect of impaired vision on hip fracture in older adults. Cohort studies used in injury research are classified into three groups, based on the criteria for assembling the cohort: cohorts based on broad inclusion criteria that do not require an illness or injury (the cohort may represent persons in a defined population), cohorts formed from persons with a non-injury illness, and cohorts which include only persons who have been injured.
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