Sentence examples for bias characteristic from inspiring English sources

The bias characteristic controls the implantation depth.

This reversal was from the caudo-rostral bias characteristic of non-human, or pre-human, brain dynamics to a rostro-caudal bias characteristic of modern human brain dynamics.

The SCA, IDI, TDI, and HDI techniques offer additional possibilities for measuring MLT winds when appropriate acceptance criteria are applied to the data, and in the case of IDI, TDI, and HDI, when narrower transmitter beams are available, and when this is done, the underestimation bias characteristic of the FCA is not evident.

These lncRNA transcripts were stringently selected as spliced transcripts generated from independent promoters, with limited coding potential and a codon bias characteristic of noncoding sequences.

No risk of bias characteristic was found to be significantly associated with treatment effect and there was no interaction with the primary analysis ratio of odds ratios of trials using surrogate outcomes compared with those using final patient relevant outcomes (fig 2).

Therefore, it seems more likely that the original strong associations were due to random variation of allele frequencies in a study including more than 300,000 SNPs and to the heavy bias characteristic of GWASs of small sample size [ 17, 18].

Figure 8 Switching time vs switching bias characteristics.

Although the end-of-range defect band resulting from high dose Ge ion implantation was found in transmission electron microscopy (TEM) observation, the ideality factor of forward bias characteristics in a heterojunction p+/n diode was almost one in every sample.

To assess a potential selection bias characteristics of subjects not included in the adjusted analyses due to missing values were compared with subjects included in the model by the Pearson Chi-Quadrat test.

We believe that the inclusion in meta-analyses of studies so radically different is a methodological bias: characteristics of patients, doses used and timing of drug administration were discordant enough to make a true meta-analysis impossible.

To assess potential non-response bias, characteristics of eligible patients who did not participate in the follow-up survey were compared to those of patients who did using standard statistical tests for continuous and categorical data.