Sentence examples for bias in models from inspiring English sources

Buckee et al. raised this question regarding those models, further arguing that bias in models of mobility could, in turn, influence the spreading of modeled epidemics [184].

Plus a look at the class bias in models of good parenting.

These extensions are followed by work regarding inherent statistical bias in models for sequence evolution.

Our study could not evaluate this due to confounding bias in models with ASB without adjustment for adiposity measures.

We develop a mathematical framework for sample selection bias in models for population structure and also proposed a correction for sample selection bias using auxiliary information about the sample.

To avoid potential bias in models predicting personal exposures with extreme numbers of nondetect values (i.e., O3 exposures in the fall and SO2 exposures in both seasons, for which > 30% of values were nondetect; Table 2), we additionally used Tobit mixed-effect regression (survReg in S-Plus), a procedure for truncated data (Tobin 1958).

In addition, an online bias correction algorithm based on the lagged average bias was implemented to detect and correct for systematic bias in model forecasts prior to updating with the particle filter.

On a social level, scrutiny refers to the detection of bias in model code and data.

Since the order in which variables are entered can impact their effect on the model r-square, alternating forward and backward steps reduces bias in model selection.

Best practice feature selection and an exhaustive validation procedure are followed in the presented workflow in order to ensure minimal bias in model development and evaluation.

Little apparent bias in model fit was evident against month as shown for block-level means of the two species/crosses representing the extremes in growth, E. camaldulensis x E. globulus (Figure 4a-c) and E. nitens (Figure 4d-f).