Supplementary Table 3 from Predicting Health-Related Quality of Life Trajectories in Elderly Patients with Breast Cancer: From Prediagnosis to Long-term Follow-up
Abstract
Supplementary Table 3 presents the R-hat convergence diagnostics for all Bayesian models used in the study. It includes the minimum and maximum R̂ values for each model across both cohorts and outcome types (PCS and MCS). All R̂ values are close to 1, indicating excellent convergence of the Markov chains.
Fields of Study & Subjects
Cancer survivorship and care
Health Systems
Economic Evaluations
Quality of Life
Radiomics and Machine Learning in Medical Imaging
Publication details
- Publication date
- 9 January 2026