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Designing, understanding and modelling two-phase experiments with human subjects.

In a recent paper, Jarrett, Farewell and Herzberg discussed a strategy for developing the analysis of a previously published two-phase experiment that investigated the effect of training on pain rating by occupational and physical therapy students. Here, their example is used to illustrate how a mul...

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Published in:Statistical Methods in Medical Research Vol. 31; no. 4; pp. 626 - 646
Main Author: Brien, Christopher James
Format: Journal Article
Published: Sage Publications Inc. Apr2022
Online Access:View this record in EBSCOhost
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      dt: Apr2022
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: Designing, understanding and modelling two-phase experiments with human subjects.
      aug:
        au: Brien, Christopher James
        affil: UniSA STEM, UniSA STEM, University of South Australia, Adelaide, South Australia
      sug:
        subj:
          Pain
          Research Subjects
          Linear Regression
      ab: In a recent paper, Jarrett, Farewell and Herzberg discussed a strategy for developing the analysis of a previously published two-phase experiment that investigated the effect of training on pain rating by occupational and physical therapy students. Here, their example is used to illustrate how a multi-step factor-allocation paradigm can be employed (i) to design an experiment, (ii) to understand the confounding in the design and (iii) to formulate linear mixed models, called prior allocation models, for the design. These models are intended as starting models for the analysis of the data, when it becomes available. An understanding of the confounding intrinsic to a design is achieved through an anatomy of the design presented in an analysis-of-variance-style table that can be obtained using functions from the R package dae. The analysis of the pain-rating experiment is re-examined and it is recommended that conclusions be based on a model with heterogeneous residual variances, in addition to the previously proposed block-treatment interactions. The paradigm is also used in producing an alternative design, taking into account the results of the re-analysis.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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