Sentence examples for careful statistical analysis from inspiring English sources

Careful statistical analysis allowed us to separate out the possible effects of other factors, such as the scale of production.

These studies, based on careful statistical analysis, stand in stark contrast to the observational reports that have been the prevailing wisdom of medical teaching for three decades.

Careful statistical analysis suggests that the Class of 2002 will be as historic, as impressive, and as remarkable as its predecessors.

These findings are a timely reminder of the relevance of experimental design and careful statistical analysis as we move into the phylogenomic era.

PITCHf/x was similarly revolutionary for Major League Baseball: it provided tools for careful statistical analysis of pitchers and gave viewers on-screen visualizations that facilitated their ability to understand and appreciate the game.

Careful statistical analysis of the model and measurement data together with statistical maximum-likelihood estimation methods, results in a systematic design procedure that is easily tuned with few and intuitive parameters.

Population based publications on diabetes prevalence, incidence, social and economic impact of the disease with careful statistical data analysis were included in the revision while those related to the issue but having no these characteristics were excluded.

Heritability is usually assessed by complex statistical analysis, careful experimentation or both.

If, indeed, one of the primary reasons why so few repeated measurement method comparison studies have been undertaken is due to the lack of statistical machinery readily available for the analysis of such data, then we hope our careful presentation of the statistical analysis and computer code for two examples will help circumvent this barrier for future researchers.

We thank Muriel Vray for statistical analysis and John Rohde for careful reading the manuscipt.

The statistical analysis of 'omics data requires careful handling, especially in the choice of statistical test.