"lead to interpretation" is a correct and usable phrase in written English.
It can be used to describe how something can be understood or perceived differently by different people. Example: The ambiguous ending of the movie led to various interpretations among viewers.
The five factor model was chosen both because its latent structure appeared more interpretable and because under-factoring is more likely to lead to interpretation problems than over-factoring [ 30].
The availability of these equations avoids grounding the consequences assessment on diagrams and nomograms that otherwise would lead to interpretation and usage errors besides avoiding the automatic solution of the inverse problem.
On the other hand, the higher sensitivity of tyramide-based ISH could lead to interpretation bias, especially due to non-specific staining [ 22].
Finally, if the post-contrast scan is performed before 24 h, there may be insufficient uptake of nanoparticles by normal macrophages, which may also lead to interpretation errors.
If the normal distribution is used, then prediction of MMSE scores is not restricted to the original test scale and this can lead to interpretation problems when predicted scores are outside the scale 0 30.
Statistical adjustment of confidence intervals (eg Bonferroni corrections) can be applied to reduce incorrect rejection of true null hypotheses and to lower type I errors, but these corrections can increase the type II error (more false negatives) and lead to interpretation errors [ 29].
In this case, resolution of small-scale ecological differences are lost that may lead to interpretations of individual fossil localities disagreeing with the general results presented here.
Amateurish and often deliberately confusing draftsmanship leads to interpretation difficulties and expensive litigation, which could have been avoided through the legislative process; many initiatives are finally declared unconstitutional.
At the same time this approach leads to interpretation problems, since the same exemplars presented in different trials appear both in training and test datasets in cross-validation.
For Q1, this could have led to interpretation problems and difficulties in the quantitative analysis of the results.
After having described the experimental procedures, comparisons and deviations between the reported measures and data given by the manufacturer or published elsewhere, have led to interpretations and modelling.
