Table A1. .
Summary of Possible Changes to the Current Parameter Set in the Reversible-Jump MCMC Algorithm[Note]
Relative Weights ![]() |
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Change (j) | Proposal | Parameters | K=1 | K=2 | 2<K<n | K=n |
1 | Cluster birth | K, C, φ | 0 | .25 | .25 | 0 |
2 | Cluster death | K, C, φ | 0 | 0 | .25 | .25 |
3 | Cluster-center swap | C | 0 | .10 | .10 | 0 |
4 | Cluster center | C | 0 | .10 | .10 | 0 |
5 | Causal-variant probability | φ | 0 | .10 | .10 | .10 |
6 | Baseline log-odds of disease | μ | .05 | .05 | .05 | .05 |
7 | Causal-variant additive effect | βA | 0 | .05 | .05 | .05 |
8 | Causal-variant dominance effect | βD | 0 | .05 | .05 | .05 |
9 | Covariate-regression coefficient | γ | .05 | .05 | .05 | .05 |
Total weight ![]() |
.10 | .75 | 1.00 | .55 |
Note.— Relative weights for changes under the null model, M0, are given by K=1. Relative weights for changes under the alternative model, M1, are given by K>1.