Exact samples sizes for clinical trials subject to size and power constraints

Summary This paper first describes the difficulties in providing the required sample sizes for clinical trials that guarantee type 1 and type 2 error control. The required sample sizes obviously depend on the test employed, and in this study we use the so‐called E ‐test, which is known to have extremely favourable size properties and higher power than alternatives. To compute exact powers for this test in real time is not currently feasible, so a corpus of pre‐computed exact powers (and sizes) was created, covering sample sizes up to 500. When there are no solutions within the corpus, a novel extrapolation technique is used. Exact size can be computed after the sample sizes have been extracted; however, for the E ‐test the exact size is virtually always very close to the nominal target. All the code has been converted into an R‐package , which is available on CRAN and illustrated.

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Publication Details

Journal
Australian & New Zealand Journal of Statistics
Published
2024-08-29
DOI
https://doi.org/10.1111/anzs.12424
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Exact samples sizes for clinical trials subject to size and power constraints

Chris J. Lloyd
1 links
Australian & New Zealand Journal of Statistics
Statistical Methods in Clinical Trials
article

Exact samples sizes for clinical trials subject to size and power constraints

Chris J. Lloyd
article en

Abstract

Summary This paper first describes the difficulties in providing the required sample sizes for clinical trials that guarantee type 1 and type 2 error control. The required sample sizes obviously depend on the test employed, and in this study we use the so‐called E ‐test, which is known to have extremely favourable size properties and higher power than alternatives. To compute exact powers for this test in real time is not currently feasible, so a corpus of pre‐computed exact powers (and sizes) was created, covering sample sizes up to 500. When there are no solutions within the corpus, a novel extrapolation technique is used. Exact size can be computed after the sample sizes have been extracted; however, for the E ‐test the exact size is virtually always very close to the nominal target. All the code has been converted into an R‐package , which is available on CRAN and illustrated.

Australian & New Zealand Journal of StatisticsVol. 66(3)
The University of Melbourne (AU)
Openalex Percentile: Top 85%
Statistical Methods in Clinical Trials
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Exact samples sizes for clinical trials subject to size and power constraints — Chris J. Lloyd · Australian & New Zealand Journal of Statistics (2024) | TGRS Research Map | TGRS