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Table 1 The estimated posterior mean of the parameters, the 95% credible intervals (CI), the BIC values and the BMA weights for each of the fitted models for the full DLBCL dataset

From: Modelling survival data to account for model uncertainty: a single model or model averaging?

Model

Parameter

Mean

95% CI

BIC

Weight

Weibull

α

0.7305

(0.626,0.840)

687.0953

0.0009

 

β 0

-1.578

(-1.84, -1.33)

  
 

β 1

-0.3446

(-0.516, -0.172)

  
 

β 2

-0.2844

(-0.454, -0.116)

  
 

β 3

0.2097

(-0.049, 0.468)

  
 

β 4

0.3292

(0.115, 0.537)

  
 

β 5

-0.3019

(-0.488, -0.112)

  

Mixture

α 1

4.029

(2.411, 6.631)

734.0054

≈0

 

α 2

0.7707

(0.662, 0.885)

  
 

β 01

6.857

(5.479, 8.205)

  
 

β 02

-1.724

(-2.007, -1.457)

  
 

β 11

-11.62

(-12.88, -10.35)

  
 

β 12

-0.3956

(-0.575, -0.216)

  
 

β 21

-2.087

(-3.54, -0.689)

  
 

β 22

-0.3172

(-0.495, -0.143)

  
 

β 31

-2.241

(-3.425, -1.059)

  
 

β 32

0.1972

(-0.064, 0.461)

  
 

β 41

-0.2849

(-1.434, 0.854)

  
 

β 42

0.3594

(0.141, 0.574)

  
 

β 51

-0.7928

(-2.107, 0.477)

  
 

β 52

-0.3102

(-0.500, -0.115)

  
 

π 1

0.01992

(0.002, 0.053)

  
 

π 2

0.9801

(0.946, 0.997)

  

Cure

α

0.9884

(0.828, 1.145)

673.1359

0.9991

 

β 0

0.1611

(-0.124, 0.560)

  
 

β 1

-0.3151

(-0.484, -0.144)

  
 

β 2

-0.2821

(-0.451, -0.115)

  
 

β 3

0.189

(-0.070, 0.442)

  
 

β 4

0.3303

(0.118, 0.539)

  
 

β 5

-0.3039

(-0.490, -0.112)