Treatment Effect Measures Under Nonproportional Hazards

'Treatment effect measures under nonproportional hazards' by Snapinn et al. (Pharmaceutical Statistics, 22, 181-193) recently proposed some novel estimates of treatment effect for time-to-event endpoints. In this note, we clarify three points related to the proposed estimators that help to elucidate their properties. We hope that their work, and this commentary, will motivate further discussion concerning treatment effect measures that do not require the proportional hazards assumption.

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Publication Details

Journal
Pharmaceutical Statistics
Published
2024-10-27
DOI
https://doi.org/10.1002/pst.2449
Citations
2
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
1.42
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article

Treatment Effect Measures Under Nonproportional Hazards

Michael Sweeting, Dan Jackson, Rose Baker
2 citations
Pharmaceutical Statistics
Statistical Methods in Clinical Trials
1.42
article

Treatment Effect Measures Under Nonproportional Hazards

Michael Sweeting, Dan Jackson, Rose Baker
article en
2 citations

Abstract

'Treatment effect measures under nonproportional hazards' by Snapinn et al. (Pharmaceutical Statistics, 22, 181-193) recently proposed some novel estimates of treatment effect for time-to-event endpoints. In this note, we clarify three points related to the proposed estimators that help to elucidate their properties. We hope that their work, and this commentary, will motivate further discussion concerning treatment effect measures that do not require the proportional hazards assumption.

Pharmaceutical StatisticsVol. 24(2)
AstraZeneca (United Kingdom) (GB), University of Salford (GB)
Good health and well-being
Openalex Percentile: Top 17%
Statistical Methods in Clinical Trials
1.42
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Treatment Effect Measures Under Nonproportional Hazards — Michael Sweeting, Dan Jackson, et al. · Pharmaceutical Statistics (2024) | TGRS Research Map | TGRS