Sentence examples for likely to be inconsistent from inspiring English sources

Distinguishing inconsistent users is important as prospective studies demonstrate that those who use contraception inconsistently at baseline were likely to be inconsistent users 6 months later [ 14].

This implies that inferences drawn based on derived characteristics for a stream network are likely to be inconsistent, which is undesirable.

As a result, little certainty is provided to plan users on the likely outcomes of resource consent applications, and the way the policy framework is applied is likely to be inconsistent.

Studies have examined post release sexual risk behavior and found that those who have a steady, long-term partner prior to incarceration are less likely to be inconsistent condom users, have sex while high on drugs and/or using alcohol, use marijuana daily or carry weapons during illegal activity immediately after release (Ramaswamy and Freudenberg 2010).

Diagne and Demont (2007) note that the downward bias of the classical probit model estimate of the probability of joint exposure and adoption for the exposed subpopulation implies that its coefficient estimates are likely to be inconsistent for a model of determinants of adoption.

Similarly, MSMW were less likely to be inconsistent condom users than MSMO with their male partners.

A relationship between the coherence scores and consistent behaviour is predicated on the counter-reciprocal: if a pair of genes is incoherent then both genes cannot be consistent, and hence if a gene has a negative coherence (reproducibility) score it is "likely" (though by no means sure) to be inconsistent by being the "odd one out".

Increasing its detection rate at the risk of a higher false alarm rate biases the pooled effect size estimates more not less because papers reporting large effect sizes are less likely to be judged inconsistent.

The results, together with numerical and mathematical analyses, indicate that integrating over uncertainty about branch lengths induces an intractable topological bias in BI that results in reduced accuracy, efficiency, and robustness compared to ML; they also suggest that BI is likely to be statistically inconsistent.

An unadjusted estimate was preferred for each as prior knowledge indicated that adjusted results were likely to be highly inconsistent in the factors for which adjustment was made (Altman, 2001, pp 228 247).

Otherwise, it is said to be inconsistent.