Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses

Jingya Gao, Feifang Hu, Siu Hung Cheung, Pei Fang Su

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Recurrent event responses are frequently encountered during clinical trials of treatments for certain diseases, such as asthma. The recurrence rates of different treatments are often compared by applying the negative binomial model. In addition, a balanced treatment-allocation procedure that assigns the same number of patients to each treatment is often applied. Recently, a response-adaptive treatment-allocation procedure has been developed for trials with recurrent event data, and has been shown to be superior to balanced treatment allocation. However, this response-adaptive treatment allocation procedure is only applicable for the comparison of two treatments. In this paper, we derive response-adaptive treatment-allocation procedures for trials which comprise several treatments. As pairwise comparisons and multiple comparisons with a control are two common multiple-testing scenarios in trials with more than two treatments, corresponding treatment-allocation procedures for these scenarios are also investigated. The redesign of two clinical studies illustrates the clinical benefits that would be obtained from our proposed response-adaptive treatment-allocation procedures.

Original languageEnglish
Pages (from-to)1549-1565
Number of pages17
JournalStatistical Methods in Medical Research
Volume31
Issue number8
DOIs
Publication statusPublished - 2022 Aug

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Statistics and Probability
  • Health Information Management

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