Tables and Result Summaries

Use this section when you need to decide which result table to build for study characteristics, main results, pairwise comparisons, model coefficients, or missing data.

Use this section when your question is "Which table should I use to present this part of my results?" It helps you choose a result-summary table for participant characteristics, main statistical results, pairwise comparisons, model coefficients, or missing data.

If you are deciding which analysis to run, start in Methods. If you are deciding whether a figure would communicate the result better than a table, start in Figures and Visualization.

Phase01 stub

  • This landing page is intentionally brief for the IA migration.
  • Content detail will be added after implementation and evidence review.

Quick routing

If you need to showGo toUse it when
Who was in the study at baselineBaseline Characteristics TableYou need a descriptive table of demographics, exposures, covariates, or group composition before the main analysis.
The main inferential resultsStatistical Results TableYou need to report effect sizes, confidence intervals, p-values, or sample sizes for the primary analysis.
Multiple group-to-group contrastsPairwise Comparison Summary TableYou need to summarize post hoc or planned pairwise comparisons across groups or conditions.
Estimated terms from a fitted modelModel Coefficients TableYou need coefficients, standard errors, confidence intervals, or term-level estimates from regression or other models.
Missingness patternsMissing Data Summary TableYou need to document how much data are missing, where they are missing, and whether missingness differs across variables or groups.

Child pages

Start here

  1. Start with Baseline Characteristics Table if you are introducing the study sample or comparing groups descriptively.
  2. Start with Statistical Results Table if you are reporting the main hypothesis test or primary endpoint results.
  3. Start with Pairwise Comparison Summary Table if your main task is summarizing multiple between-group contrasts.
  4. Go to Model Coefficients Table when the key output is term-by-term estimates from a model.
  5. Go to Missing Data Summary Table when readers need to understand missingness before interpreting results.
  • Related links are registered in frontmatter and rendered below this stub.