misestimate

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Without state-of-the-art analytic techniques being used more routinely in epidemiologic studies and other lines of evidence, the benefits and costs of recommended interventions or action could be misestimated and apparent cost-effective interventions may be ineffective.
Case 1 serves as the reference case, which can be compared to the other cases to illustrate how an insurer's risk level may be misestimated if operational risk is not taken into account.
This violates the ordinary least squares (OLS) assumption of uncorrelated error terms and leads to misestimated standard errors.
he has come to an understanding of what he at first missed, or misunderstood, or misestimated.
Importantly, gender differences can be misestimated if examinee motivation is not taken into account.
And that those who did not understand the meaning of his constitutional declaration and of his decisions will one day notice that they had misestimated or misunderstood, and that, if they had been patient or had listened, they would have realized earlier that everything that had angered them from the President had been nothing but baseless apprehensions in their own minds.
Stern (1994) points out that approaches that estimate the probability of winning a game at various points throughout the game implicitly use overlapping data points because the probability of ultimately winning the game is highly correlated from one moment to the next, thus the standard errors may be misestimated.
However, both approaches are inadequate to test hierarchical models as they can result in aggregation bias, misestimated precision and levels of analysis problems (Raudenbush and Bryk 2002; Rousseau 1985).
It is possible that the crude relative risk calculated in this study is misestimated to some degree.
Hierarchical linear models (HLM) solve the problems associated with the unit of analysis problem such as misestimated standard errors, heterogeneity of regression and aggregation bias by modeling all levels of interest simultaneously.
If the DSGE model had misestimated these reactions, therefore, it would have produced, in a period with substantial, predictable variation in interest rates, mistaken forecasts of GDP and inflation.
With a small sample size, the default spread could be misestimated due to large sampling errors.