Sentence examples for statistically sensible from inspiring English sources

29 Continuous predictors from the model were dichotomised into clinically and statistically sensible categories to create the tool.

For a statistically sensible analysis and to extract texture features comparable with fine coarse sizes, the ROI needs to be large enough.

Taking into account the diverse items included in the FI and the different populations used, the cutpoints would be heavily data-dependent and only statistically sensible, thus limiting the generalizability and clinical sense of the FI.

Finally, we would like to emphasize that all methods require an appropriate filtering and normalization of the data in order to obtain robust and statistically sensible results [ 143, 144].

When model outputs were averaged over the south Asia model domain, a statistically significant decrease in mean sensible heat flux between the potential vegetation and the irrigated agriculture scenarios of 11.7 Wm− 2 was found.

We conducted multiple logistic regression using statistically significant variables and clinically sensible variables against the occurrence of an adverse event.

Choosing the limit to the change in likelihood so that it was just not statistically significant appeared to be a sensible choice to select a mild degree of penalization.

The result was that 75% of the viruses from 2002-03 were less virulent than apparently similar counterparts from 1986-89 a 1986-89 aally statisticallybsignificantr Ariën's cautiobservation.Dr, Ariënast until someone replicates the work elsewhere.

We explored four representative methods for the pathway analysis of GWAS data, among which the Plink set-based test generated the most sensible set of significant pathways both statistically and in biological interpretation.

Although the association between visual failure and heavy alcohol consumption was not statistically significant in the logistic regression analysis, it would also seem sensible for LHON mutation carriers to moderate their alcohol intake and avoid binge drinking episodes.

Results of empirical and simulation studies indicate that generalized linear mixed models (GLMMs) provide more sensible results and have greater power to identify model effects as statistically significant (Stroup 2012).