Sentence examples for importance of statistical from inspiring English sources

Exact(26)

Despite the importance of statistical concepts to health professionals, the teaching of statistics to students from this field has generally been unrewarding.

Nate Silver's accurate forecasting of Obama's election victory last year brought him acclaim, and it also highlighted the importance of statistical literacy in our data-heavy age.

The importance of statistical power is illustrated using bootstrap resampling of data from a series of osteosarcoma patients.

The problem is that, unless you're a close follower of climate science, the overriding importance of statistical trends—as opposed to spot measurements can be baffling to lay people.

There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.

In this editorial we critically analyze the real data of this noninferiority study and the importance of statistical knowledge by oncologists for correct interpretation of study results.

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Similar(34)

Three studies by Chan and colleagues using emailed questionnaires also reported that lack of clinical importance, lack of statistical significance, and restrictions on journal space were the most common reasons for under-reporting given by authors.

Conclusions/Significance: Our results highlight the importance of rigorous statistical analysis of proteomic data, and the method described here provides a statistical framework to robustly and reliably interpret such data.

Our results highlight the importance of rigorous statistical analysis of proteomic data, and the method described here provides a statistical framework to robustly and reliably interpret such data.

The importance of considering statistical power in marine pollution studies is unequivocal.

The list includes text mentions about the disease (Lipid, Triglycerides) and possible lifestyle adjustments (Red Meat), demonstrating the importance of using statistical models on all the patient data available.

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