Abstract
This chapter discusses some techniques for exploratory data analysis and statistical modelling of data from N-of-1 trials, and provides illustrations of how statistical models and corresponding analyses can be developed for the more common designs encountered in N-of-1 trials. Models and corresponding analyses for other designs, perhaps involving different nesting of treatments, order and blocks, can be developed in a similar manner. The focus of this chapter is on continuous response outcomes, that is, numerical response data. The chapter is presented in tutorial style, with concomitant R code and output provided to complement the description of the models. Mixed effects models are also discussed. Such models can be extended to account for a variety of factors whose effects can be considered as random draws from a population of effects. A taxonomy of relevant statistical methods is also presented. This chapter is aimed at readers with some background in statistics who are considering an analysis of data from an N-of-1 trial in the R package.
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Mengersen, K., McGree, J.M., Schmid, C.H. (2015). Statistical Analysis of N-of-1 Trials. In: Nikles, J., Mitchell, G. (eds) The Essential Guide to N-of-1 Trials in Health. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7200-6_12
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DOI: https://doi.org/10.1007/978-94-017-7200-6_12
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