Sentence examples for and why results from inspiring English sources

Working together with scientists, advocates have influenced how researchers view the significance of their scientific questions, how research designs might impact participants and why results need to be important endpoints and not just extend life for a week or two.

Finally, we provide case studies to help explain how and why results from MMRM and LOCF_ANCOVA may differ.

If it seems useful, the key user is asked to identify others who may further describe if, how and why results were used in evolving scenarios.

We will use a realistic approach to look for factors explaining any identified differences between countries, explaining how the actual intervention led to the observed results and why the results differ (or not) between countries [ 41- 43].

Each hospital has its own method and that is why results cannot be compared among hospitals and experiences cannot be shared.

He added: "It all connects and that's why results aren't going so well".

In our regular self-evaluation (and in this review), we have therefore focused most of our attention on maintaining regular interaction with and mutual learning amongst all key actors, with the aim of explaining both what has happened in the project and, as appropriate, why results or outcomes sometimes diverged from the predicted or expected scenario.

Whenever possible, look for meta-analyses or systematic reviews that synthesize results from many studies, as they can provide more-credible evidence and sometimes suggest reasons why results differ.

Designing successful reforms is not easy, and questions as to why results are mixed continue to be explored.

Clearly, more studies are required to determine why results differ and to determine whether BPA exposure does indeed affect pregnancy outcomes in animal models.

We also believe that the ai community as a whole could benefit from considering the issue of how, when, and why negative results should be reported; certainly a major difference between ai and more established fields such as medicine is that very few ai papers report negative results.