Nonlinear models of measurement errors are used to analyze and correct inaccuracies in data collection and interpretation.

For many variables measured in epidemiology, particularly those based on self-report, however, errors are often correlated with the true value, and these rules may not apply.

Measurement errors in exposure assessment are unavoidable, with residential radon exposure being no exception (Bäverstam and Swedjemark, 1991; Lubin et al., 1995), and induce bias on RR estimates.

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling ...

LinkedIn said Thursday it discovered a pair of measurement errors that led to more than 400,000 advertisers overpaying for campaigns on the professional networking platform. In a blog post, the ...