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Table 13 Heidelberger and welch test for the Bayesian Bernoulli-Exponential model for the bladder cancer data including three prior scenarios

From: A Bayesian Bernoulli-Exponential joint model for binary longitudinal outcomes and informative time with applications to bladder cancer recurrence data

Parameter

Stationarity Test

P-value

Halfwidth Test

Mean

Halfwidth

Informative Prior Scenario

     \(\alpha _{1}\)

passed

0.499

passed

0.222

0.019

     \(\alpha _{2}\)

passed

0.195

passed

0.402

0.010

     \(\alpha _{3}\)

passed

0.794

passed

0.006

0.003

     \(\alpha _{4}\)

passed

0.462

passed

-0.049

0.006

     \(\gamma\)

passed

0.503

passed

-0.118

0.006

     \(\psi\)

passed

0.666

passed

-0.008

0.007

     \(\vartheta\)

passed

0.207

passed

0.000

0.003

     \(\xi\)

passed

0.618

passed

-0.127

0.004

Non- Informative Prior Scenario

     \(\alpha _{1}\)

passed

0.104

passed

-0.339

0.054

     \(\alpha _{2}\)

passed

0.089

passed

0.466

0.666

     \(\alpha _{3}\)

passed

0.555

passed

0.107

0.010

     \(\alpha _{4}\)

passed

0.077

passed

0.189

0.020

     \(\gamma\)

passed

0.542

passed

-0.021

0.013

     \(\psi\)

passed

0.322

passed

0.106

0.011

     \(\vartheta\)

passed

0.718

passed

0.095

0.008

     \(\xi\)

passed

0.509

passed

-0.182

0.009

Jeffreys Non-Informative Prior Scenario

     \(\alpha _{1}\)

passed

0.134

passed

0.138

0.002

     \(\alpha _{2}\)

passed

0.433

passed

2.005

0.016

     \(\alpha _{3}\)

passed

0.083

passed

0.160

0.001

     \(\alpha _{4}\)

passed

0.053

passed

0.061

0.001

     \(\gamma\)

passed

0.613

passed

-0.012

0.008

     \(\psi\)

passed

0.168

passed

0.416

0.011

     \(\vartheta\)

passed

0.270

passed

0.080

0.008

     \(\xi\)

passed

0.224

passed

-0.156

0.005