Researchers have improved the assessment of consistency in meta-analysis. The improved consistency measure considers statistical power, and it has potential to alter the interpretation of ...

Statistical errors in preclinical science are a barrier to reproducibility and translation. For instance, linear models (e.g., ANOVA, linear regression) may be misapplied to data that violate ...

To ensure all arms in a randomized clinical trial have roughly equal percentages of participants from key subgroups, statisticians often stratify patient assignment to each arm and account for these ...

Gene-set analysis of GWAS data can best be understood as an analysis using genes as data points, carrying out a test of the relationship between a gene set and the genetic associations of genes with a ...

Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected, it is necessary to calculate and justify the required sample size for ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...