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Research Article | Open Access

Testing probability of being in response

Ekkehard Glimm1,2( )Norbert Hollaender1
Novartis Pharma AG, Novartis Campus, 4056 Basel, Switzerland
Otto-von-Guericke University, Institute of Biometry and Medical Informatics, Leipziger Str. 44, 39120 Magdeburg, Germany
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Abstract

The probability-of-being-in-response (PBR) curve is a graphical method that combines two time-to-event endpoints, namely time from study start to first response and time from first response to subsequent failure considering all patients of a study. We generalize the logrank-test to a test that compares PBR curves. We focus on the global null hypothesis of no difference between the multistate stochastic processes underlying the two curves. The test is designed in such a way that it has high power when the PBR is consistently higher for one of the two groups at all times. Simulations and the application to clinical trial data show that the proposed tests are useful additions to the visual comparison of PBR curves.

CLC number: 62N01, 62P10

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AIMS Mathematics
Pages 66-84

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Cite this article:
Glimm E, Hollaender N. Testing probability of being in response. AIMS Mathematics, 2026, 11(1): 66-84. https://doi.org/10.3934/math.2026004

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Received: 11 September 2025
Revised: 03 December 2025
Accepted: 16 December 2025
Published: 04 January 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)