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Table 1 Analyses of the divergence in BMI trajectories between T2DM adults and non-T2DM adults: assessment of Bayesian model complexity (effective number of parameters pD), and fit (deviance information criteria DIC) for each candidate model

From: Bayesian hierarchical piecewise regression models: a tool to detect trajectory divergence between groups in long-term observational studies

  Model Females PP p-val Males PP p-val
Unconditional A 26910 (2544) 0.47 19837 (2223) 0.55
T2DMgroup (int β0) B 26670 (2366) 0.45 19741 (2270) 0.43
T2DMgroup (childhood slope β1) C 26780 (2510) 0.6 19865 (2247) 0.58
T2DMgroup (Adulthood slope β2) D 26701 (2401) 0.58 19828 (2242) 0.62
T2DMgroup (change point CP) E 26076 (2777) 0.52 19762 (2213) 0.51
T2DMgroup (CP + β2) F 26504(2430) 0.6 19860 (2271) 0.54
T2DMgroup (CP + β0) G 26436 (2751) 0.55 19896 (2242) 0.45
T2DMgroup (all 4 parameters) H 26532 (2978) 0.52 19920 (2435) 0.51
  1. Reported for each model are DIC (pD), and posterior predictive p-values (PP p-val). Best fitting models are indicated in bold characters