Understanding variation in sets of N-of-1 trials

Artur Araujo, Steven Julious, Stephen Senn

    Research output: Contribution to journalArticleResearchpeer-review

    43 Citations (Scopus)


    A recent paper in this journal by Chen and Chen has used computer simulations to examine a number of approaches to analysing sets of n-of-1 trials. We have examined such designs using a more theoretical approach based on considering the purpose of analysis and the structure as regards randomisation that the design uses. We show that different purposes require different analyses and that these in turn may produce quite different results. Our approach to incorporating the randomisation employed when the purpose is to test a null hypothesis of strict equality of the treatment makes use of Nelder's theory of general balance. However, where the purpose is to make inferences about the effects for individual patients, we show that a mixed model is needed. There are strong parallels to the difference between fixed and random effects meta-analyses and these are discussed.

    Original languageEnglish
    Article numbere0167167
    JournalPLoS ONE
    Issue number12
    Publication statusPublished - Dec 2016


    Dive into the research topics of 'Understanding variation in sets of N-of-1 trials'. Together they form a unique fingerprint.

    Cite this