Sensitivity of trends in geometric mean blood levels to random measurement errors.
A statistical model is investigated that expresses observations, such as blood lead levels, as an additive function of true levels and random measurement errors. Both empirical results (obtained from a series of computer simulation experiments) and theoretical results indicate how certain summary statistics for the observations vary in response to random measurement errors. Such results are applied to a very large data base of pediatric blood lead levels collected in New York City during 1970-1976, and they indicate that the observed trends in geometric mean blood lead levels are not significantly altered by the possible presence of measurement errors.
D002675:Child, Preschool; D003201:Computers; D006801:Humans; D007854:Lead / Q000097:blood*; D008433:Mathematics; D009519:New York City; D011336:Probability; D013223:Statistics as Topic; D014505:Urban Population
D007854:Lead