Sentence examples for error to examine from inspiring English sources

Paired observers collected abundance and covariate metrics at 50 observation points and we estimated population sizes using distance sampling theory, but also assessed individual observer error to examine potential bias introduced by the large number of minimally trained observers.

We adopted an analysis of Z-scores (mean ± SE (standard error)) to examine neuronal responses to the light stimulus.

Further research is needed to assess the relationship between missing clinical information and diagnostic errors; to examine the issue in primary care; and to consider the patients perspective.

We selected a Cox proportional hazard analysis with robust standard errors to examine the relationship of baseline predictors and time to initial SMR use.

We estimated two multinomial logistic regression models, controlling for the aforementioned variables (identified in Table  1) and using robust standard errors, to examine dentists' responses to the scenario under the circumstances of an adequate and a limited dental workforce [ 34].

We also performed a multiple regression analysis with robust standard errors to examine whether BMI weight categories in adolescents and other factors (such as the adolescent's age, gender, and parent's race and educational background) were associated with the differences in pediatric HRQoL rated by adolescents and parents.

Given the discordance between this study and other recently published literature, further studies should recruit larger patient cohorts, in order to minimize the effect of type II error and to examine an interaction between nitrate, medications and comorbidities.

Therefore, the data serve as a foundation on which to test different exposure models with and without spatially distributed errors and to examine the role of exposure measurement error in air pollution studies.

A second method for assessing the presence of systematic errors is to examine normal probability plots based on the weighted residuals and for the quotient and difference refinements, respectively.

The root mean square percent error (RMSP) was estimated to examine the error between the simulated traffic demand and the actual observed traffic demand, and it was found to be 8.29 %. Figure 8 shows the comparison of observed and simulated point-to-point travel time for the selected route, which has an RMSP value of 2.49 %.

The general principle behind approximation error modelling is to examine the difference between an 'exact' model A x) and its computational approximation A h(x h).