Understanding Variation in Sets of N-of-1 Trials.

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...

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Main Authors: Artur Araujo, Steven Julious, Stephen Senn
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5131970?pdf=render
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author Artur Araujo
Steven Julious
Stephen Senn
author_facet Artur Araujo
Steven Julious
Stephen Senn
author_sort Artur Araujo
collection DOAJ
description 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.
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spelling doaj.art-c858209d8176442d92b60736f69b9db02022-12-21T19:56:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016716710.1371/journal.pone.0167167Understanding Variation in Sets of N-of-1 Trials.Artur AraujoSteven JuliousStephen SennA 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.http://europepmc.org/articles/PMC5131970?pdf=render
spellingShingle Artur Araujo
Steven Julious
Stephen Senn
Understanding Variation in Sets of N-of-1 Trials.
PLoS ONE
title Understanding Variation in Sets of N-of-1 Trials.
title_full Understanding Variation in Sets of N-of-1 Trials.
title_fullStr Understanding Variation in Sets of N-of-1 Trials.
title_full_unstemmed Understanding Variation in Sets of N-of-1 Trials.
title_short Understanding Variation in Sets of N-of-1 Trials.
title_sort understanding variation in sets of n of 1 trials
url http://europepmc.org/articles/PMC5131970?pdf=render
work_keys_str_mv AT arturaraujo understandingvariationinsetsofnof1trials
AT stevenjulious understandingvariationinsetsofnof1trials
AT stephensenn understandingvariationinsetsofnof1trials