Sentence examples for major model misspecification from inspiring English sources

Desbutyl-lumefantrine plasma concentration data below the limit of quantification in the terminal elimination phase did not result in any major model misspecification.

Once the amount of covariance ill fit exceeds what might reasonably result from random variations (which is what χ tests), the appropriate research response is to thoroughly investigate the possible sources of the ill fit – including the possibility of major model misspecifications.

In our data, the major culprit of model misspecification is likely to be linguistic borrowing this is probably the cause of at least 21/25 misplacements (See Materials and Methods).

Avoiding model misspecification, especially the threat posed by curvilinearity in the pre-post relationship, is the major analytic challenge.

We included all major factors that determine tobacco use, considered non‐linear effects of covariates in our models and checked for outliers to minimize model misspecification, yet there was still a small amount of overdispersion detected.

LR was susceptible to model misspecification.

We examine learning, model misspecification, and robust policy responses to misspecification in a quasi-real-time environment.

This problem could be a result of model misspecification, excessive residuals or multicollinearity.

Hence, the resulting forecasts are not bedevilled by the model misspecification risk.

A measure of model misspecification is proposed, and the consequences of model misspecification in non-experimental causal inference methods are investigated.

Model misspecification is a potential problem for any parametric-model based analysis.