Fooled by Randomness. The Misleading Effect of Treatment Crossover in Randomized Trials of Therapies with Marginal Treatment Benefit

Vicente Valentí, Paula Jiménez-Fonseca, Pavlos Msaouel, Ramón Salazar, Alberto Carmona-Bayonas

Research output: Contribution to journalComment/debatepeer-review

4 Scopus citations

Abstract

Crossover can bias clinical outcomes of randomized clinical trials by increasing the risk of both type I (false positive) and type II (false negative) errors. To show how crossover can increase type I error, we provide computer simulation and review herein illustrative examples (iniparib, olaratumab) of recently reported RCTs that demonstrated false-positive treatment efficacy signals due to crossover. The ethical issues associated with crossover are also discussed.

Original languageEnglish (US)
Pages (from-to)184-188
Number of pages5
JournalCancer Investigation
Volume40
Issue number2
DOIs
StatePublished - 2022

Keywords

  • Crossover
  • bias
  • randomized clinical trials

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint

Dive into the research topics of 'Fooled by Randomness. The Misleading Effect of Treatment Crossover in Randomized Trials of Therapies with Marginal Treatment Benefit'. Together they form a unique fingerprint.

Cite this