Statistical Analysis of N-of-1 Trials

  • Mengersen K
  • McGree J
  • Schmid C
N/ACitations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

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. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

Cite

CITATION STYLE

APA

Mengersen, K., McGree, J. M., & Schmid, C. H. (2015). Statistical Analysis of N-of-1 Trials. In The Essential Guide to N-of-1 Trials in Health (pp. 135–153). Springer Netherlands. https://doi.org/10.1007/978-94-017-7200-6_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free