Sentence examples for evidence is valid from inspiring English sources

However, if we can identify situations where the evidence is valid, reliable, compelling and generalisable, then we should expect the actions of healthcare professionals to reflect and represent that evidence consistently and reliably.

Thus, it is perhaps less surprising that undergraduate students in this study found it difficult to determine if research evidence was valid and applicable; bearing in mind their modest amounts of clinical experience.

This evidence which is valid for all different considered tests, is a consequence of the fiber contribution to the overall sample integrity much beyond peak.

Again, scientists and engineers make many decisions to ensure that data are accurate and that the evidence obtained is valid (true measures or observations) and reliable (obtained using procedures that can be repeated).

The GO has also developed a set of computable rules [see (7)] for determining whether a particular usage of an ECO evidence type is valid and is accompanied by sufficient information.

I have reviewed the empirical evidence which suggests that the multiple-choice format is indeed predictive of proficiency, which provides important evidence that it is valid.

Our report issued last autumn said there was no scientific evidence that it is valid for such a use.

Furthermore, it strengthens the evidence that it is valid for all birth size, and not only for SGA children.

There is experimental evidence that this is valid for animals exposed to multiple pathogens [[ 26], up to an optimum in [ 27]] but not to single pathogens [ 28].

Evidence that MAT is valid tool for surveying leptospiral infection in terrapins is confirmed by the experimental observation that two different species exhibited homologous seroconversion after infection by the serovar (sv).

The Bayesian model selection involving the use of the model evidence is always valid, contrary to the Bayesian/Akaike Information Criterion, which are approximations valid in the limit of using large amounts of data.