A nonparametric proportional risk model to assess a treatment effect in time‐to‐event data
Abstract: Time‐to‐event analysis often relies on prior parametric assumptions, or, if a semiparametric approach is chosen, Cox's model. This is inherently tied to the assumption of proportional hazards, with the analysis potentially invalidated if this assumption is not fulfilled. In addition, most interpretations focus on the hazard ratio, that is often misinterpreted as the relative risk (RR), the ratio of the cumulative distribution functions. In this paper, we introduce an alternative to current methodology for assessing a treatment effect in a two‐group situation, not relying on the proportional hazards assumption but assuming proportional risks. Precisely, we propose a new nonparametric model to directly estimate the RR of two groups to experience an event under the assumption that the risk ratio is constant over time. In addition to this relative measure, our model allows for calculating the number needed to treat as an absolute measure, providing the possibility of an easy and holistic interpretation of the data. We demonstrate the validity of the approach by means of a simulation study and present an application to data from a large randomized controlled trial investigating the effect of dapagliflozin on all‐cause mortality.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
A nonparametric proportional risk model to assess a treatment effect in time‐to‐event data ; volume:66 ; number:4 ; year:2024 ; extent:18
Biometrical journal ; 66, Heft 4 (2024) (gesamt 18)
- Urheber
- DOI
-
10.1002/bimj.202300147
- URN
-
urn:nbn:de:101:1-2405241428381.392558166731
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Ameis, Lucia
- Kuß, Oliver
- Hoyer, Annika
- Möllenhoff, Kathrin
Ähnliche Objekte (12)
Methods for time-to-event data analysis for non-proportional hazard settings
Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards
A joint model for nonparametric functional mapping of longitudinal trajectory and time-to-event
Data-driven simulations to assess the impact of study imperfections in time-to-event analyses
Interim design modification in time-to-event studies
Multivariate time-to-event outcomes: from non-Markov models to causality
Metrics for Time-to-Event Prediction of Gaze Events
Time-to-event analysis in economic evaluations: A comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney
A parametric additive hazard model for time-to-event analysis
ADuLT: An efficient and robust time-to-event GWAS
An Alternative to Pooling Kaplan-Meier Curves in Time-to-Event Meta-Analysis
Statistical modeling strategies for linking multiple molecular sources to time-to-event endpoints : = Statistische Modellbildungsstrategien zur Verknüpfung multipler molekularer Quellen unter Berücksichtigung von Time-to-Event Endpunkten
Methods for time-to-event data analysis for non-proportional hazard settings
Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards
A joint model for nonparametric functional mapping of longitudinal trajectory and time-to-event
Data-driven simulations to assess the impact of study imperfections in time-to-event analyses
Interim design modification in time-to-event studies
Multivariate time-to-event outcomes: from non-Markov models to causality
Metrics for Time-to-Event Prediction of Gaze Events
Time-to-event analysis in economic evaluations: A comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney
A parametric additive hazard model for time-to-event analysis
ADuLT: An efficient and robust time-to-event GWAS
An Alternative to Pooling Kaplan-Meier Curves in Time-to-Event Meta-Analysis
Statistical modeling strategies for linking multiple molecular sources to time-to-event endpoints : = Statistische Modellbildungsstrategien zur Verknüpfung multipler molekularer Quellen unter Berücksichtigung von Time-to-Event Endpunkten
Methods for time-to-event data analysis for non-proportional hazard settings
Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards
A joint model for nonparametric functional mapping of longitudinal trajectory and time-to-event
Data-driven simulations to assess the impact of study imperfections in time-to-event analyses
Interim design modification in time-to-event studies
Multivariate time-to-event outcomes: from non-Markov models to causality
Metrics for Time-to-Event Prediction of Gaze Events
Time-to-event analysis in economic evaluations: A comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney
A parametric additive hazard model for time-to-event analysis
ADuLT: An efficient and robust time-to-event GWAS
An Alternative to Pooling Kaplan-Meier Curves in Time-to-Event Meta-Analysis