pith:T6XPIJZO
Evaluating the impact of outcome delay on the efficiency of sample size re-estimation
Outcome delays during recruitment inflate final sample sizes and power in sample size re-estimation trials
arxiv:2605.12797 v1 · 2026-05-12 · stat.ME · stat.AP
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The results indicate that with increase in delay length, the delay impact increases, inflating average sample size and power. However, the severity of the effect of delayed outcomes depends highly on the exact trial setting. Trials where the reestimated sample size is smaller than originally planned suffer the most from delayed outcomes, often leading to an overpowered trial.
The modeling assumes continuous recruitment during outcome delays and specific distributions for continuous and binary outcomes, without detailed accounting for variable recruitment rates or other real-world factors like dropouts.
Outcome delays in internal pilot sample size re-estimation inflate average sample size and power, with strongest effects when re-estimated sizes are smaller than originally planned.
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| First computed | 2026-05-18T03:09:12.779833Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9faef4272e7462ac74dcb954f7f22d5798e38071d94a0861907e7fbaaec911b9
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/T6XPIJZOORRKY5G4XFKPP4RNK6 \
| jq -c '.canonical_record' \
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Canonical record JSON
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