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Table 5 Heidelberger and welch test for the Bayesian Bernoulli-Exponential model and for the Jeffreys non-informative prior

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

Sample Size and Design Structure

Parameter

Stationarity Test

P-value

Halfwidth Test

Halfwidth

18(20 &6)

\(\alpha _{1}\)

passed

0.1046

passed

0.0473

\(\alpha _{2}\)

passed

0.0901

passed

0.0231

\(\alpha _{3}\)

passed

0.0878

passed

0.0273

\(\alpha _{4}\)

passed

0.0555

passed

0.0273

\(\alpha _{5}\)

passed

0.3411

passed

0.0238

\(\alpha _{6}\)

passed

0.0693

passed

0.0197

\(\alpha _{7}\)

passed

0.3220

passed

0.0096

\(\gamma\)

passed

0.4874

passed

0.0120

\(\psi\)

passed

0.3489

passed

0.0179

\(\vartheta\)

passed

0.2100

passed

0.0030

\(\xi\)

passed

0.4830

passed

0.0111

54(10)

\(\alpha _{1}\)

passed

0.0582

passed

0.0225

\(\alpha _{2}\)

passed

0.3334

passed

0.0129

\(\alpha _{3}\)

passed

0.1332

passed

0.0133

\(\alpha _{4}\)

passed

0.0617

passed

0.0133

\(\alpha _{5}\)

passed

0.1518

passed

0.0165

\(\alpha _{6}\)

passed

0.0552

passed

0.0041

\(\alpha _{7}\)

passed

0.0681

passed

0.0030

\(\gamma\)

passed

0.2791

passed

0.0075

\(\psi\)

passed

0.3487

passed

0.0096

\(\vartheta\)

passed

0.8298

passed

0.0015

\(\xi\)

passed

0.3672

passed

0.0068

180 (5 &3)

\(\alpha _{1}\)

passed

0.4216

passed

0.0115

\(\alpha _{2}\)

passed

0.1339

passed

0.0053

\(\alpha _{3}\)

passed

0.0623

passed

0.0055

\(\alpha _{4}\)

passed

0.6780

passed

0.0060

\(\alpha _{5}\)

passed

0.5003

passed

0.0063

\(\alpha _{6}\)

passed

0.5941

passed

0.0016

\(\alpha _{7}\)

passed

0.1024

passed

0.0016

\(\gamma\)

passed

0.6136

passed

0.0032

\(\psi\)

passed

0.0126

passed

0.0120

\(\vartheta\)

passed

0.2572

passed

0.0009

\(\xi\)

passed

0.5216

passed

0.0029