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Table 2 Posterior mean parameter estimates for Bayesian hierarchical Piecewise BMI trajectory for best fitting trajectory divergence models in males and females (Models E)

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

  

Females

Model E

Males

Model E

β0

I

26.5 (0.20)

27.46 (0.16)

β1

S1

0.67 (0.012)

0.61 (0.01)

β2

S2

−0.49 (0.015)

−0.46 (0.06)

CP

CP

16.02 (0.29)

21.62 (0.42)

CP T2DM

CP

12.37 (1.21)

6.47 (1.23)

σβ0

 

2.07 (0.05)

2.36 (0.07)

σβ1

 

0.02 (0.005)

0.06 (0.004)

σβ2

 

0.07 (0.006)

0.05 (0.004)

σ β1β2

 

0.11 (0.05)

0.14 (0.03)

σ CP

 

3.1 (0.26)

4.3 (0.2)

σ

 

1.33 (0.02)

1.21 (0.01)

β log(insulin)

 

1.01 (0.04)

0.98 (0.03)

  1. Posterior standard deviations (uncertainty in the parameters) are reported in brackets. Reported β0 coefficients are in kg/m2, β1 and β2 are in kg/m2 per year, CP and CP T2DM are in years. All σ coefficients are standard deviations for the corresponding growth parameters and the residual error. β log(insulin) coefficients are in kg/m2 for a 1 sd increase in log(insulin) level
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BMC Medical Research Methodology

ISSN: 1471-2288

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