Table 4.
Minimum requirements checklist for reporting statistical analyses; we recommend that the details shown be provided in manuscripts to allow the data and the study’s reproducibility to be assessed
| Guideline | |
|---|---|
| Experimental design | Define: |
| •Hypothesis tested and purpose of the statistical analysis | |
| •Variables, groups, sample sizes (preferably determined by power analysis), sample randomization, and significance (α) level | |
| methods | Provide details on: |
| •Name and version of the statistical software used | |
| •Any procedures taken to modify raw data before analysis (e.g., transformation, ratios, combining categories) | |
| •Which tests were used for which comparisons, including post hoc tests for ANOVA and whether corrections were made for multiple comparisons | |
| •Ancillary analyses (assumptions testing as well as identification and treatment of outliers and missing values) | |
| •Data and details of statistical analysis should be available for requests to assess reproducibility on open repository sites (3) | |
| results | Report: |
| •Precise P values to two (for 1.0 to 0.01) or three (for 0.009 to 0.001) decimal places; precision below P < 0.001 not needed except for genetic associations | |
| •Variability reported using standard deviation | |
| •Confidence intervals | |
| •Data with appropriate scientific precision (e.g., report body weight with no significant digits after the decimal point) | |
| •Upload source data into a public repository (e.g., Figshare, https://figshare.com/) at submission | |
| Table and figure legends | •Name tests used and sample sizes for each group in figure legends and tables |
| •Provide information on sex of animals used, unless only one sex is stated in the methods | |
| •Data visualization: use box and whisker plots or similar instead of column graphs, to show individual responses; consider clarity of information presented | |