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Table 2 Model Fitting for Group Based Trajectory Analysis

From: Knee pain trajectories over 18 months in non-Hispanic Black and non-Hispanic White adults with or at risk for knee osteoarthritis

# Groups

Order

Term

Group 1

B(SE)

p-value

Group 2

B(SE)

p-value

Group 3

B(SE)

p-value

Group 4

B(SE)

p-value

Group 5

B(SE)

p-value

BIC

Bayes Factor

1

All quartic

Intercept

4.45 (1.24)

P < 0.001

    

− 1812.5

 

Linear

0.55 (1.58)

P = 0.77

      

Quadratic

−0.31 (0.87)

P = 0.72

      

Cubic

0.06 (0.16)

P = 0.69

      

Quartic

0 (0.01)

P = 0.66

      

1

All linear

Intercept

4.68 (0.2)

P < 0.001

    

− 1802.6

 

Linear

0.02 (0.04)

P = 0.49

      

2

All linear

Intercept

2.9 (0.17)

P < 0.001

6.26 (0.16)

P < 0.001

   

− 1574.8

227.8

Linear

0.02 (0.04)

P = 0.49

0.04 (0.04)

P = 0.33

     

3

All linear

Intercept

2.76 (0.16)

P < 0.001

5.48 (0.2)

P < 0.001

7.5 (0.24)

P < 0.001

  

−1517.3

57.5

Linear

0.03 (0.04)

P = 0.40

0.02 (0.04)

P = 0.55

0.05 (0.06)

P = 0.38

    

4

All linear

Intercept

1.83 (0.32)

P < 0.001

3.24 (0.20)

P < 0.001

5.55 (0.17)

P < 0.001

7.54 (0.22)

P < 0.001

 

− 1502.5

14.8

Linear

0.03 (0.06)

P = 0.67

0.04 (0.05)

P = 0.34

0.03 (0.04)

P = 0.50

0.05 (0.05)

P = 0.32

   

5

All linear

Intercept

1.8 (0.32)

P < 0.001

3.21 (0.2)

P < 0.001

5.18 (0.21)

P < 0.001

6.92 (0.44)

P < 0.001

7.61 (0.27)

P < 0.001

− 1505.5

−3.0

Linear

0.3 (0.06)

P = 0.66

0.05 (0.04)

P = 0.31

0.06 (0.05)

P = 0.19

−0.08 (0.08)

P = 0.33

0.10 (0.06)

P = 0.12

  
  1. Note: B(SE)➔ regression coefficient with standard error, by number of groups in model. P-values are for statistical significance of each regression term in model. BIC➔ Bayesian Information Criteria. Bayes factor➔ 2 x [BIC more complex model – BIC simpler model] Best-fitting model in bold