use of IWBs. The study also discusses the factor of bias that might influence these perceptions. This study reported …

with ‘project team's quality' (team's strengths and weaknesses) and bias, c) an explanation why all currently used risk …

distribution on the bias and relative efficiency of the conditional likelihood estimator from a nested case–control study. Methods …: Cohorts were simulated and analyzed using conditional logistic regression. Results: The relative efficiency decreased and bias …: Gains in relative efficiency and a reduction in bias can be realized by sampling more than four or five controls per case …

employed in the original meta-analysis can positively bias the estimate of the ROR. We then repeated the random effects meta …

bias. Characterizing the magnitude and direction of collider bias is crucial for understanding the implications of … selection bias and for adjudicating decisions about whether to control for variables that are known to be associated with both … derive collider bias that results from (i) conditioning on specific levels of the collider or its child (on the covariance …

Abstract Objectives We introduce a simple and unified methodology to estimate the bias of Pearson correlation …

Abstract Anis and Pandey [Economic Quality Control 18: 83–90, 2003] have pointed out that the bias and mean squared …

least squares. It studies, by way of an extensive simulation experiment, the bias of the slope parameter estimator induced … an asymptotic bias for the estimator.  …