Literature DB >> 31131462

Modestly weighted logrank tests.

Dominic Magirr1, Carl-Fredrik Burman1.   

Abstract

We propose a new class of weighted logrank tests (WLRTs) that control the risk of concluding that a new drug is more efficacious than standard of care, when, in fact, it is uniformly inferior. Perhaps surprisingly, this risk is not controlled for WLRT in general. Tests from this new class can be constructed to have high power under a delayed-onset treatment effect scenario, as well as being almost as efficient as the standard logrank test under proportional hazards.
© 2019 John Wiley & Sons, Ltd.

Keywords:  drug regulation; immuno-oncology; nonproportional hazards; weighted logrank test

Mesh:

Year:  2019        PMID: 31131462     DOI: 10.1002/sim.8186

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

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2.  Cancer immunotherapy trial design with random delayed treatment effect and cure rate.

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3.  Sample size calculation for two-arm trials with time-to-event endpoint for nonproportional hazards using the concept of Relative Time when inference is built on comparing Weibull distributions.

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Journal:  Biom J       Date:  2021-07-17       Impact factor: 1.715

4.  A modified weighted log-rank test for confirmatory trials with a high proportion of treatment switching.

Authors:  José L Jiménez; Julia Niewczas; Alexander Bore; Carl-Fredrik Burman
Journal:  PLoS One       Date:  2021-11-15       Impact factor: 3.240

5.  Examining evidence of time-dependent treatment effects: an illustration using regression methods.

Authors:  Kim M Jachno; Stephane Heritier; Robyn L Woods; Suzanne Mahady; Andrew Chan; Andrew Tonkin; Anne Murray; John J McNeil; Rory Wolfe
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  5 in total

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