Nonparametric analysis of delayed treatment effects using single‐crossing constraints

Abstract: Clinical trials involving novel immuno‐oncology therapies frequently exhibit survival profiles which violate the proportional hazards assumption due to a delay in treatment effect, and, in such settings, the survival curves in the two treatment arms may have a crossing before the two curves eventually separate. To flexibly model such scenarios, we describe a nonparametric approach for estimating the treatment arm‐specific survival functions which constrains these two survival functions to cross at most once without making any additional assumptions about how the survival curves are related. A main advantage of our approach is that it provides an estimate of a crossing time if such a crossing exists, and, moreover, our method generates interpretable measures of treatment benefit including crossing‐conditional survival probabilities and crossing‐conditional estimates of restricted residual mean life. Our estimates of these measures may be used together with efficacy measures from a primary analysis to provide further insight into differences in survival across treatment arms. We demonstrate the use and effectiveness of our approach with a large simulation study and an analysis of reconstructed outcomes from a recent combination therapy trial.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Nonparametric analysis of delayed treatment effects using single‐crossing constraints ; volume:66 ; number:2 ; year:2024 ; extent:19
Biometrical journal ; 66, Heft 2 (2024) (gesamt 19)

Urheber
Henderson, Nicholas C.
Nam, Kijoeng
Feng, Dai

DOI
10.1002/bimj.202200165
URN
urn:nbn:de:101:1-2024022614051558231063
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:55 MESZ

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Beteiligte

  • Henderson, Nicholas C.
  • Nam, Kijoeng
  • Feng, Dai

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