Sentence examples for is open to error from inspiring English sources

Given the range of experience, intuition, and mental models across clinicians, diagnosis is open to error and care can be quite variable.

Our approach is open to error as (1) the time periods of the study and the collection of the smoking data do not correspond exactly and (2) the hospital data may underestimate the number of pregnant smokers who had engaged with maternity care due to misreporting.

However, it should be noted that secretome gene prediction is predicated on the presence of the proper N-terminus in the protein sequence and therefore is open to errors if poor protein models are utilized.

The estimation of player numbers (population at risk) may also be open to error.

In other cases, firms issued new shares, free to some of their shareholders, without informing the others".Mann responds for Sibneft: "Any registrar system based on people, pen and paper is open to human error but Sibneft has never had a policy of crossing shareholders off its registry".

Thus, absence of statistically significant effects of HA coating on stem survival does not necessarily imply that HA coating has no effect; i.e., the analysis is open to a type-II error.

Some respondents suggested that the HoNOS was open to human error and misinterpretation [ 16].

Second, the immunohistochemical methodology used to quantify the morphology parameters was open to observer error although consistent and rigorous methods were applied throughout the study in order to limit this possibility.

Although the disc diffusion method of antimicrobial sensitivity testing has been described as a reliable, easy and inexpensive method of evaluating antimicrobial efficacy [ 8], recent research has indicated that the results from the disc diffusion test are open to interpretive error and that it is only useful as a preliminary screen for susceptibility testing [ 9].

The absence of statistical significance concerning survival between the primary group and secondary group does not necessarily imply that there was no difference; i.e. the analysis was open to type-II error due to the limited number of cases available in the study group and the comparatively short follow-up.

One reason for this inconclusiveness is small sample bias in which the results of many studies are open to a considerable chance of error.