Bayesian Analysis of Time-To-Event Data in a Cluster-Randomized Trial: Major Outcomes With Personalized Dialysate TEMPerature (MyTEMP) Trial
Our Bayesian analysis indicated that implementing personalized cooler dialysate as a center-wide policy is unlikely to yield meaningful benefits in reducing the composite outcome of cardiovascular-related deaths and hospitalizations, regardless of prior expectations, whether optimistic or skeptical, about the intervention's effectiveness.
Authors
- Amit X. Garg (ORCID: https://orcid.org/0000-0003-3398-3114)
- Ahmed A. Al‐Jaishi (ORCID: https://orcid.org/0000-0003-0376-2214)
- Michael Walsh (ORCID: https://orcid.org/0000-0001-8292-2014)
- Sierra Anderson (ORCID: https://orcid.org/0000-0002-7190-7625)
- P.J. Devereaux (ORCID: https://orcid.org/0000-0003-2935-637X)
- Stephanie N. Dixon (ORCID: https://orcid.org/0000-0002-7566-6574)
- Merrick Zwarenstein (ORCID: https://orcid.org/0000-0003-0162-7027)
- Yongdong Ouyang (ORCID: https://orcid.org/0000-0002-8692-2991)
- Ron Wald (ORCID: https://orcid.org/0000-0003-4411-8169)
- Bin Luo (ORCID: https://orcid.org/0000-0002-0608-9793)
Institutions
- Western University (CA)
- St. Michael's Hospital (CA)
- Lawson Health Research Institute (CA)
- University of Toronto (CA)
- Ottawa Hospital (CA)
- London Health Sciences Centre (CA)
- Hospital for Sick Children (CA)
- Population Health Research Institute (CA)
- Public Health Ontario (CA)
- SickKids Foundation (CA)
- Institute for Clinical Evaluative Sciences (CA)
- Impact (CA)
- Centre for Family Medicine (CA)
- Ottawa Hospital Research Institute (CA)
- Hamilton Health Sciences (CA)
- McMaster University (CA)
Publication Details
- Journal
- Canadian Journal of Kidney Health and Disease
- Published
- 2025-06-28
- DOI
- https://doi.org/10.1177/20543581251341710
- Citations
- 1
- Primary Topic
- Health Systems, Economic Evaluations, Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 3.13