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Fig. 5 | BMC Medical Informatics and Decision Making

Fig. 5

From: Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis

Fig. 5

Bayesian inference of the CTEs of RT. a Win probability distribution of the optimal subgroup. In subgroup 32, the patients who were treated with chemotherapy exhibit a significantly greater probability of survival compared to the untreated patients (lower bound of 95% CI > 0.5). b Kaplan–Meier survival curves of the worst subgroup. The treated patients exhibit significantly better prognoses than the untreated patients in this subgroup (p = 0.000). c Kaplan–Meier survival curves of other subgroups outside the worst subgroup. The treated patients do not exhibit significantly better prognoses than the untreated patients in these subgroups (p = 0.436). d Bivariate win probability distribution for visualizing treatment benefits. To compare the distributions of win probabilities between the optimal and control subgroups, we visualize the joint distribution of these two groups. The blue contour represents the density of probability and the end of the contour (margin of the graph) represents a 95% CI. The upper triangle represents the area of treatment benefit

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