Sentence examples for spurious outcomes from inspiring English sources

Also, the use of a theoretical approach for statistical analysis reduced the risk for spurious outcomes.

Moreover, it has been demonstrated clearly that all phylogenetic algorithms can produce spurious outcomes when explicit or implicit model assumptions are violated (see [ 51] for thorough review); when violations result in statistical inconsistency, artifacts worsen as data sets increase in size [ 66, 67].

If the number of steps used to compute variability is too low there is the potential for a statistically spurious outcome.

Given the lack of an optimal mean of determining these, the limited sensitivity of the safety performance increases the level of confidence that the safety benefits estimated from the combination of the simulation and crash prediction models are not a spurious outcome of the method used to calibrate the crash prediction model.

However, such effects may not reflect the competitive ability of sperm at fertilization and could potentially be the spurious outcome of selective mortality of developing tadpoles with respect to genetic incompatibility of partners and is predicted to show cumulative severity in proportional mortality through embryonic development.

Alternatively, this may in fact be a spurious outcome due to our small sample size following stratification.

It has been argued that the any association of the G-gap with outcomes, whether calculated from fructosamine or HGI, is a statistically spurious outcome of regression analysis with the anchor HbA1c value (15).

It has been shown that patients with depressive symptoms may over-report negative aspects of HRQoL and a spurious exposure-outcome association may be generated [ 62].

If a patient's indication to receive treatment is their higher severity of illness compared to those who do not receive treatment, a spurious treatment-outcome association may be measured solely due to confounding by severity of illness.

In such a case the TSLS estimates in Table 4 would partly reflect the effect on business lending of spurious bank-level outcomes.

By testing whether a locus within a family is associated with the outcome, spurious associations are avoided because all family members come from the same subpopulation.