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Compare Independent Poisson Rates

Check event counts, exposure units, and log-Wald assumptions before comparing two event rates.

Summarize Categorical Diversity

Use Shannon and Simpson summaries to describe category distributions without turning diversity into a clinical quality score.

Audit Binary Prediction Scores

Calculate a binary Brier score from valid aggregate inputs and distinguish overall probability accuracy from calibration.

Report a Paired Mean Difference

Use the standard deviation of within-person differences and a Student t interval for a paired mean estimate.

Choose Calibration Bins Without Hiding Error

Audit bin boundaries, sample sizes, and aggregation before interpreting a probability calibration plot.

Prevent Leakage in Prediction Validation

Keep preprocessing, model selection, and outcome timing inside a reproducible validation design.

Audit Reverse-Keyed Questionnaire Items

Verify scoring direction, category bounds, and missing-value handling before calculating a questionnaire total.

Check the Poisson Mean–Variance Assumption

Separate heterogeneous exposure from residual overdispersion before trusting a simple Poisson rate comparison.

Recover Counts Compatible with Rounded Percentages

Identify integer counts consistent with a reported percentage without claiming that rounding reveals the original data.

Spearman–Brown test-length planning worksheet

Download a structured spearman–brown test-length planning worksheet with assumptions, inputs, a hypothetical example and review fields.

Independent Poisson rate comparison worksheet

Download a structured independent poisson rate comparison worksheet with assumptions, inputs, a hypothetical example and review fields.

Category diversity audit worksheet

Download a structured category diversity audit worksheet with assumptions, inputs, a hypothetical example and review fields.