Sentence examples for consequently biased from inspiring English sources

Errors in the allele frequency estimates may result in biased relationships and consequently biased GEBVs, especially for young animals [ 5].

Other limits were represented by the small sample size and the tertiary care setting of the study that may have increased the proportion of subjects with more severe headache and consequently biased the selection of patients.

The same degree of construct might elicit different responses on a Likert scale and consequently biased interpretation of domain and total scores [ 34].

Consequently, biased values of the effective transport parameters counterbalance the deficiency of the associated models.

With value, reviewer opinions may also provide a source of prior information about the underlying worth of an object, consequently biasing the subject's valuation.

Nielsen et al. [ 4] describes the BC TAM cohort as biased towards higher risk breast cancers due to Provincial treatment guidelines in place at the time when these patient samples were collected, which consequently biases the cohort toward higher risk subtypes and higher average ROR scores.

Directed removal of data from one end of the scale is expected to under-estimate heritability and consequently bias estimates of EBV; in particular sires with the poorer breeding values since they are expected to have more offspring with missing (and bad) records.

However, trials with certain results might not be published for different reasons and this might consequently bias the review results [ 13].

However, the fact that the E3N cohort was not population based may reduce the variability of many characteristics and consequently bias our estimates towards unity.

[ 22] Consequently, bias can be viewed in terms of a posterior means distribution of residuals, i.e. observed minus predicted or expected on the basis of a CSA model.

The impact of these types of issues together with more personal characteristics of people's perception about air pollution can consequently bias the results in epidemiological studies, especially in studies focusing on individuals and not populations.