Designing Monte Carlo implementations of permutation or bootstrap hypothesis tests

American Statistician

Volumn 56, Issue 1, 2002, Pages 63-70

  Fay, Michael P ^a   Follmann, Dean A ^b  

^a NATIONAL CANCER INSTITUTE   (United States)

^b NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

Author keywords

Computation; Resample size; Resampling; Sequential design; Simulation

Indexed keywords

EID: 0036003724     PISSN: 00031305     EISSN: None     Source Type: Journal    
DOI: 10.1198/000313002753631385     Document Type: Article

References (12)

1. A survey of exact inference for contingency tables
2. A three-step method for choosing the number of bootstrap repetitions
3. Sequential Monte Carlo p-values
4. Monte Carlo evaluation of resampling-based hypothesis tests
5. Bootstrap confidence intervals
6. Permutation tests for joinpoint regression with applications to cancer rates
7. A sequential approximation to a permutation test
8. Importance sampling for estimating exact probabilities in permutational inference
9. P values as random variables - Expected p values