Study Setup

Use this section to decide how your dataset is structured, which pre-analysis rules should be declared, and how results can be traced back to the study state that produced them.

Use Study Setup when your question is how the study should be declared before or around analysis, rather than which statistical method to run.

This category helps you decide whether you need to define the dataset structure, predeclare analysis rules, or trace a result back to its dataset revision and analysis context. It is not the place to fix file import problems, choose a detailed statistical method, or review post-analysis diagnostics.

Read the page that matches your setup question

If your question is...Read this page
What one row means, which columns are IDs or groups, what kind of outcome you have, or whether repeated measurements are biological vs technical replicatesData Contract
Which rules should be declared before interpretation, such as sidedness, exclusions, randomization, blinding, or stopping rulesAnalysis Planning
Which dataset revision, preprocessing history, or application state produced a result or figureProvenance and Reproducibility

Start here

If you have not yet confirmed what one row represents, start with Observation Unit Declaration.

If the structure is mostly clear but you need to declare how the analysis should be planned in advance, start with Analysis Family Declaration or Hypothesis Direction and Sidedness.

If your main question is whether a result can be recreated from the same dataset revision and setup state, start with Versioning and Provenance.

Child sections

If this is not your question

  • If you need to confirm file shape, required columns, or import support, see Data Requirements
  • If you need to choose a statistical test, model, or effect-size workflow, see Methods
  • If you need to review assumptions, independence, multiplicity, or diagnostics after setup, see Quality Checks
  • Related links are registered in frontmatter and rendered below this stub.