A Visual Tool to Help Develop a Statistical Analysis Plan for Randomized Trials in Palliative Care


      Collaboration with a statistician about the design of a statistical analysis plan can be enhanced by illustrating how statisticians conceptualize their task. This conceptualization can be represented by a directed acyclic graph (DAG), which illustrates the statistician's approach and also provides an actionable tool to assist in the development of the plan.

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      1. Palliative Care Research Cooperative Group. Available at: Accessed May 1, 2002.

      2. Identifying an Applicable Clinical Trial Under FDAAA. Available at: Accessed May 1, 2002.

        • Knol MJ
        • VanderWeele TJ
        Recommendations for presenting analyses of effect modification and interaction.
        Int J Epidemiol. 2012; 41: 514-520
        • Sullivan GM.
        A primer on the validity of assessment instruments.
        J Graduate Med Educ. 2011; 3: 119-120
        • Higginson IJ
        • Evans CJ
        • Grande G
        • et al.
        Evaluating complex interventions in end of life care.
        BMC Med. 2013; 111: 1-11
      3. Missing data in palliative and end of life care trials: Guidance on how to reduce, handle and report missing data. 2022. Available at: Accessed July 15, 2022.

        • Williams TC
        • Bach CC
        • Matthiesen NB
        • et al.
        Directed acyclic graphs: a tool for causal studies in paediatrics.
        Pediar Res. 2018; 84: 487-493
        • Samsa GP
        • LeBlanc TW
        • Locke SC
        • Troy JD
        • Pomann GM.
        A model of cross- disciplinary communication for collaborative statisticians: implications for curriculum design.
        J Curr Teach. 2018; 7: 1-11