Relative Risk of Involuntary Injuries Among Currently Employed Adults in the U.S.

Abstract

It can be very informative to compare the risk of injury for different occupations, places where accidents happen, demographic variables, and other characteristics. However, most epidemiologic literature shows that multiple logistic regression or odds ratio were commonly used to compare the relationship between the variables on two or more levels. A multiple logistic regression could be used for multiple comparisons assuming that the model correctly reflects the situation at hand. But it might not be a true assumption. Assuming no model, we defined the relative risk to compare risks of injury for different occupations, and applied this method to the data collected by the National Center for Health Statistics (NCHS) National Health Interview Survey (NHIS). This application showed that the relative risk of injury varied by occupation and by place of accident, sex, race, and age.

Keywords:

• occupational injuries
• model independent analysis
• sample estimation
• test of hypothesis