The Aggregation of Single-Case Results Using Hierarchical Linear Models.

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A multilevel meta-analysis of single-subject experimental design studies (2008, methodology): “Van den Noortgate and Onghena (2003a; 2003b; 2007) described in detail some of these extensions, and gave codes to perform the analyses using SAS or SPSS .”
Bottom-Up Analysis of Single-Case Research Designs (2012, unknown): “The purpose of this article is to distinguish a ‘‘bottom-up’’ approach to analysis of data from SCR designs from the ‘‘top-down’’ approach typified by hierarchical or multi-level modeling (HLM, MLM) (van den Noorgate and Onghena 2007, 2008), randomization (Kratochwill and Levin 2010), and complex mu”
The state of the science in the meta-analysis of single-case experimental designs (2008, background): “For example, van den Noortgate and Onghena (2007) discussed a study in which Phase 1 was baseline, Phase 2 was a treatment, and Phase 3 was a different treatment.”
Randomization tests for single-case experiments: State of the art, state of the science, and state of the application (2014, methodology): “…Edgington & Onghena, 2007, pp. 225- 259; Franklin, Allison, & Gorman, 1996; Kazdin, 2011; Parker, Vannest, & Davis, 2011), as well as software for the design and analysis of SCE research (e.g., Bulté & Onghena, 2008, 2009, 2012; Koehler & Levin, 2000; Van den Noortgate & Onghena, 2003a, 2007).”