Sentence examples for dramatically biased from inspiring English sources

Crude estimates provided by standard likelihood (6) maximisation, replacing left-censored values by the value of the threshold, were dramatically biased with the exception of V0.

We demonstrate that the assessment of the time course of fluid percussion injury-induced epileptogenesis is dramatically biased by the definition of seizure employed, with common duration-based arbitrary definitions resulting in artificially prolonged latencies for epileptogenesis.

Because total chemical space is estimated to be greater than 10 molecules for a molecular weight below 430 g/Mor−1 (or Dalton), chemical libraries have to be dramatically biased towards biological targets to reduce size and improve odds of random hits.

This approach prevents a few outlier strains from dramatically biasing the set of core genes characteristic of a bacterial species.

Accurately measuring the volume of tissue damage in experimental lesion models is crucial to adequately control for the extent and location of the lesion, variables that can dramatically bias the outcome of preclinical studies.

Moreover, extremely subjective rules, such as those applied to only one entity, are the worst rules because they dramatically bias the marketplace; thus depriving consumers of a competitor that is able to bring the best price, products and service to bear.

This again suggests that inclusion of outlier strains can dramatically bias core genome size.

Obtaining accurate transcript abundance measures using the masking approach depends on the assumptions that using a subset of the 14 probe pairs does not dramatically bias the final measure of transcript abundance.

Moreover, a one-sided selection process based on the statistical significance of a sufficient magnitude to dramatically bias meta-analysis conclusions is poorly detectable by publication bias methods based on the funnel plot when the mean effect size equals 0. Future research is needed to compare the performance of these methods with selection models.

While there is relatively low posterior uncertainty in θ (as compared to l), the estimates are dramatically and increasingly downward biased as true θ climbs above 0.1.

The divergence between two DNA fragments is biased and decreases dramatically following gene conversion.