Sentence examples for specification bias from inspiring English sources

One relates to the specification bias and the other to the presence of spurious regression.

In order to check the specification bias, we conducted RESET tests (Ramsey [1969]) as described in Silva and Tenreyro ([2006]).

One can, however, gain some insight into pure specification bias using an approximation.

This discrepancy is the source of pure specification bias [ 7, 9].

Another strength are the analytical methods used which included Poisson variability, spatial random effects and within-area variability of exposure that permitted control for pure specification bias.

Even if there are no other sources of bias, nonlinearity can thus cause trouble for ecologic studies – a problem called pure specification bias [ 7, 9].

Second, a consistent specification was used across all outcomes to simplify presentation, which may have led to specification biases that would modify our findings.

Advantages of the approach include reduction of potential confounding by variables that are typically associated with mortality (e.g., smoking history, blood pressure), simplification of modeling, and reduction of vulnerability to model mis-specification bias (Armstrong 2003; Schwartz 2005b).

A stronger case might be made for the problematic pervasiveness of model mis-specification, methodological inconsistency, lineage-specific biases, long-branch attraction, paralogy, or (for systematics) the grade- vs-clade issue.

Inappropriate model specification can bias the results of an interrupted time series analysis and using a model that is not closely tailored to the intervention or testing multiple models increases the risk of false positives being detected.

Incorrect trend specification might bias the estimated impact of smokefree legislation.