Exact Inference and Multiple Testing
Exact tests, sequential analysis, and error-rate control for clinical and genetic hypotheses
2026-06-07 18:16 PDT
Overview
Exact inference methods – procedures whose Type I error is guaranteed without large-sample approximation – are essential in settings where sparse data, small samples, or discrete outcomes make asymptotic chi-square and z-tests unreliable. This has long been a defining theme of the lab’s statistical methodology work, beginning with early papers on Fisher’s exact test for general r×2 tables and extending through unconditional exact procedures, sequential analysis, and error-rate control in multiple-testing contexts.
The applied motivation spans clinical trials with rare events, genetic association studies with Hardy-Weinberg equilibrium constraints, and interim analyses requiring formal stopping rules.
Current work
Fisher’s exact test for general r×2 tables. Exact conditional inference for two-way tables with more than two rows, including algorithms for exact p-value computation and power analysis under unequal sample sizes.
Unconditional exact tests for 2×2 tables. Comparison of unconditional exact procedures (Barnard, Boschloo) with the conditional Fisher test; power analysis and sample-size implications for trials with binary endpoints.
Fisher exact power with unequal N. Power analysis for exact tests under planned allocation imbalance.
Sequential analysis and repowering. Formal sequential testing procedures for clinical trials with planned interim looks, including sample-size re-estimation and repowering after an underpowered trial result.
Multiple comparisons. Error-rate control procedures (Bonferroni, Holm, Benjamini-Hochberg, closed testing) for clinical trials with multiple primary or secondary endpoints.
Hardy-Weinberg equilibrium testing. Exact tests for Hardy-Weinberg equilibrium in genetic association studies, with power evaluation for common allele-frequency configurations.
Methods
Exact conditional and unconditional tests; network algorithms for exact p-value computation; Monte Carlo power evaluation; sequential probability ratio tests (SPRT) and group sequential designs with alpha-spending; Bonferroni and Holm-type closed testing procedures.
Software
- zzfisher – Fisher’s exact test for r×2 contingency tables, with exact power analysis and p-value computation.
Publications
This is one of the oldest and largest threads in the publication record. The full publications list can be filtered by exact-inference, hypothesis-testing, or confidence-intervals to browse the relevant papers, which span work from the early 1980s through the present.