Sentence examples for external applicability from inspiring English sources

Consequently, the external applicability of the result could not be fully guaranteed, specifically concerning septic patients with cardiovascular events.

Thirdly, the study only included subjects whose ages were within the range of 40 70 years, which might limit the external applicability of the study results.

Most importantly, risk factors described in this study have been previously mentioned in studies restricted to single focus of infection or pathogen, by other authors from different parts of the world, suggesting important external applicability of these conclusions.

However, we think that our results concerning the greater generalizability of SMD have partially resolved such concerns because, despite the variability in the SD across trials, SMD had better external applicability and can therefore be said to have been less vulnerable to over- or underestimation.

Taking the qualitative comments into account, a new item labelled 'external authorities' was added in view of the international applicability of this instrument.

One way to address the influence of SE data with respect to the external model applicability domain is to make a comparison with and without SE training data for target models.

This phenomenon challenges the external clinical applicability of this study.

Even with good internal validity, external validity (applicability to the general patient population) is often highly problematic due to unique sample characteristics and "sterilized" settings of the RCTs (relative to the real world settings) [ 26 ].

Since information related to the treatment intervention is essential to enhance the external validity, applicability and implementation of results of systematic review, 5 barriers to the optimal quality of reporting for treatment intervention should be explored and tackled in future studies.

Overall, this approach entails a high level of external validity and applicability but often only a low level of causality.

The accuracy of the proposed model is illustrated using the following evaluation techniques: cross-validation, validation through an external test set, applicability domain, and Y-randomization.