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

Gregory Samsa; Kathryn Colborn; Maren Olsen; Gina-Maria Pomann; Steven Grambow; Megan Neely; Jesse Troy

doi:10.1016/j.jpainsymman.2022.08.004

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

J Pain Symptom Manage. 2023 Jan;65(1):e87-e95. doi: 10.1016/j.jpainsymman.2022.08.004. Epub 2022 Aug 13.

Authors

Gregory Samsa¹, Kathryn Colborn², Maren Olsen³, Gina-Maria Pomann³, Steven Grambow³, Megan Neely³, Jesse Troy³

Affiliations

¹ Department of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC. Electronic address: greg.samsa@duke.edu.
² Department of Surgery (K.C.), University of Colorado School of Medicine, Denver, CO.
³ Department of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC.

Abstract

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.

Keywords: Constructivism; Randomized trials; Statistical analysis plan; Statistical consultation.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Hospice and Palliative Care Nursing*
Humans
Palliative Care
Randomized Controlled Trials as Topic
Research Design*
Research Personnel

Grants and funding

U2C NR014637/NR/NINR NIH HHS/United States