Worksheets and research resources · Page 28
Search and filter all worksheets and research resourcesReport a Proportion with a Wilson Confidence Interval
Check the binary denominator and interval method before reporting uncertainty around an observed proportion.
Interpret an Odds Ratio Without Calling It a Risk Ratio
Audit table orientation, event odds, and study design before describing an odds ratio in plain language.
Calculate a Risk Difference with a Newcombe Interval
Express an independent-group probability difference in percentage points and document its interval construction.
Report a Geometric Mean on the Correct Scale
Check positive values, logarithms, and multiplicative interpretation before replacing an arithmetic summary.
Define Protocol Days Before Counting Calendar Dates
Separate elapsed days, inclusive date counts, and study-day numbering with explicit boundary examples.
Audit Missingness Patterns Across Variables
Count overlapping missing fields at the record level before summarizing complete and incomplete observations.
Communicate Absolute and Relative Risks Together
Keep baseline risk, time horizon, denominators, and uncertainty visible when explaining a binary comparison.
Extract Zero-Event Studies Without Turning Silence into Zero
Distinguish reported absence of events from missing reporting and retain sparse-study data for an appropriate synthesis decision.
Prespecify Confidence Levels Before Reading Results
Document interval level, sidedness, method, and multiplicity before choosing how uncertainty will be displayed.
Track Complete-Case Denominators for Each Planned Model
Explain why adding a variable changes the usable sample and distinguish sample changes from covariate adjustment.
Binomial proportion interval plan
Document the observation unit, event denominator and Wilson interval assumptions.
Independent binary effect-measure audit
Keep risks, odds, orientation and interval methods distinct in a source-table audit.