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55,026 results

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Page 1
Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes.
Riley RD, Snell KI, Ensor J, Burke DL, Harrell FE Jr, Moons KG, Collins GS. Riley RD, et al. Stat Med. 2019 Mar 30;38(7):1276-1296. doi: 10.1002/sim.7992. Epub 2018 Oct 24. Stat Med. 2019. PMID: 30357870 Free PMC article.
When designing a study to develop a new prediction model with binary or time-to-event outcomes, researchers should ensure their sample size is adequate in terms of the number of participants (n) and outcome events (E) relative to the number of predictor param …
When designing a study to develop a new prediction model with binary or time-to-event outcomes, researchers should ensure their sampl …
Sample size calculation for recurrent event data with additive rates models.
Zhu L, Li Y, Tang Y, Shen L, Onar-Thomas A, Sun J. Zhu L, et al. Pharm Stat. 2022 Jan;21(1):89-102. doi: 10.1002/pst.2154. Epub 2021 Jul 26. Pharm Stat. 2022. PMID: 34309179
This paper discusses the design of clinical trials where the primary endpoint is a recurrent event with the focus on the sample size calculation. For the problem, a few methods have been proposed but most of them assume a multiplicative treatment effect on the rate …
This paper discusses the design of clinical trials where the primary endpoint is a recurrent event with the focus on the sample si …
Sample size adjustment designs with time-to-event outcomes: A caution.
Freidlin B, Korn EL. Freidlin B, et al. Clin Trials. 2017 Dec;14(6):597-604. doi: 10.1177/1740774517724746. Epub 2017 Aug 10. Clin Trials. 2017. PMID: 28795844
(Clinical Trials 2015) considered sample size adjustment applications in the time-to-event setting using a design (CDL) that limits adjustments to situations where the interim results are promising. ...METHODS: In time-to-event settings, sample size ad …
(Clinical Trials 2015) considered sample size adjustment applications in the time-to-event setting using a design (CDL) that l …
On recurrent-event win ratio.
Mao L, Kim K, Li Y. Mao L, et al. Stat Methods Med Res. 2022 Jun;31(6):1120-1134. doi: 10.1177/09622802221084134. Epub 2022 Mar 29. Stat Methods Med Res. 2022. PMID: 35345957 Free PMC article.
For statistical efficiency and clinical interpretability, we construct and compare different win ratio variants that make fuller use of recurrent events. We pay special attention to a variant called last-event-assisted win ratio, which compares two patients on the c …
For statistical efficiency and clinical interpretability, we construct and compare different win ratio variants that make fuller use of recu …
Sample size estimation for recurrent event data using multifrailty and multilevel survival models.
Dinart D, Bellera C, Rondeau V. Dinart D, et al. J Biopharm Stat. 2025 Mar;35(2):241-256. doi: 10.1080/10543406.2024.2310306. Epub 2024 Feb 9. J Biopharm Stat. 2025. PMID: 38334044
In epidemiology and clinical research, recurrent events refer to individuals who are likely to experience transient clinical events repeatedly over an observation period. ...We provided an in-depth analysis of the sample size required for the analysis of recu …
In epidemiology and clinical research, recurrent events refer to individuals who are likely to experience transient clinical event …
Minimum sample size for external validation of a clinical prediction model with a binary outcome.
Riley RD, Debray TPA, Collins GS, Archer L, Ensor J, van Smeden M, Snell KIE. Riley RD, et al. Stat Med. 2021 Aug 30;40(19):4230-4251. doi: 10.1002/sim.9025. Epub 2021 May 24. Stat Med. 2021. PMID: 34031906
The calculations can also be used to inform whether the sample size of an existing (already collected) dataset is adequate for external validation. We illustrate our proposal for external validation of a prediction model for mechanical heart valve failure with an expected …
The calculations can also be used to inform whether the sample size of an existing (already collected) dataset is adequate for extern …
Fundamental patterns and predictions of event size distributions in modern wars and terrorist campaigns.
Spagat M, Johnson NF, Weezel SV. Spagat M, et al. PLoS One. 2018 Oct 17;13(10):e0204639. doi: 10.1371/journal.pone.0204639. eCollection 2018. PLoS One. 2018. PMID: 30332451 Free PMC article.
It is still unknown whether there is some deep structure to modern wars and terrorist campaigns that could, for example, enable reliable prediction of future patterns of violent events. Recent war research focuses on size distributions of violent events, with …
It is still unknown whether there is some deep structure to modern wars and terrorist campaigns that could, for example, enable reliable pre …
Flexible Spline Models for Blinded Sample Size Reestimation in Event-Driven Clinical Trials.
Mori T, Komukai S, Hattori S, Friede T. Mori T, et al. Pharm Stat. 2025 Mar-Apr;24(2):e2459. doi: 10.1002/pst.2459. Epub 2024 Dec 11. Pharm Stat. 2025. PMID: 39660542 Free PMC article.
In event-driven trials, the target power under a certain treatment effect is maintained as long as the required number of events is obtained. ...In the setting of an event-driven trial, the sample size may be adjusted to maintain the chances to obtain …
In event-driven trials, the target power under a certain treatment effect is maintained as long as the required number of events …
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions.
Agassi T, Keret N, Gorfine M. Agassi T, et al. Biometrics. 2025 Jul 3;81(3):ujaf110. doi: 10.1093/biomtc/ujaf110. Biometrics. 2025. PMID: 40856106 Free article.
While a multitude of existing works offer optimal subsampling methods for conducting analyses on subsamples with minimized efficiency loss, they notably lack tools for judiciously selecting the subsample size. To bridge this gap, our work introduces tools designed for choo …
While a multitude of existing works offer optimal subsampling methods for conducting analyses on subsamples with minimized efficiency loss, …
Extreme Events and Event Size Fluctuations in Resetting Random Walks on Networks.
Sun X, Zhu S, Li A. Sun X, et al. Entropy (Basel). 2025 Nov 28;27(12):1215. doi: 10.3390/e27121215. Entropy (Basel). 2025. PMID: 41440418 Free PMC article.
Such events model critical network phenomena, including traffic congestion, server overloads, and infrastructure failures. In this work, we systematically investigate how stochastic resetting influences both the probability and magnitude of extreme events in complex …
Such events model critical network phenomena, including traffic congestion, server overloads, and infrastructure failures. In this wo …
55,026 results
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