Skip to main content

Table 6 Table of parameter estimates for the Bayesian Bernoulli-Exponential joint model and for the Gaussian informative prior scheme

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

Table of Parameter Estimates

Parameter

Mean

SD

Lower(2.50%)

Upper(97.50%)

18(10)

\(\alpha _{1}\)

0.0612

0.3124

-0.6635

0.5512

\(\alpha _{2}\)

0.3842

0.3373

-0.2775

1.0430

\(\alpha _{3}\)

0.2442

0.3164

-0.3719

0.8610

\(\alpha _{4}\)

0.5997

0.3387

-0.0470

1.2690

\(\alpha _{5}\)

0.5423

0.3214

-0.0880

1.1660

\(\alpha _{6}\)

0.4866

0.2678

-0.0207

1.0200

\(\alpha _{7}\)

0.6965

0.2201

0.2654

1.1330

\(\gamma\)

-1.1970

0.4424

-2.0670

0.3595

\(\psi\)

0.0821

0.1880

-0.2705

0.4692

\(\vartheta\)

-0.0424

0.0945

-0.2403

0.1355

\(\xi\)

-1.0138

0.1675

-1.3610

-0.7008

54(5 &3)

\(\alpha _{1}\)

-0.1757

0.2720

-0.7142

0.3419

\(\alpha _{2}\)

0.1808

0.2991

-0.4001

0.7733

\(\alpha _{3}\)

0.3036

0.2979

-0.2831

0.8919

\(\alpha _{4}\)

0.1360

0.3060

-0.4670

0.7350

\(\alpha _{5}\)

0.2789

0.3015

-0.3050

0.8738

\(\alpha _{6}\)

0.3109

0.1828

-0.0454

0.6655

\(\alpha _{7}\)

0.8236

0.1811

0.4837

1.1830

\(\gamma\)

-0.1481

0.1699

-0.4760

0.1882

\(\psi\)

-0.3989

0.3829

-1.1540

0.3522

\(\vartheta\)

-0.1782

0.0481

-0.2800

-0.0907

\(\xi\)

-2.0490

0.1452

-2.3330

-1.7800

180(20 &6)

\(\alpha _{1}\)

0.8981

0.5843

-0.1935

2.0410

\(\alpha _{2}\)

-0.1049

0.6234

-1.3520

1.0780

\(\alpha _{3}\)

-0.4832

0.5375

-1.5330

0.5700

\(\alpha _{4}\)

-0.4959

0.5042

-1.4250

0.4862

\(\alpha _{5}\)

-0.0917

0.5033

-1.0750

0.8553

\(\alpha _{6}\)

-0.0368

0.3831

-0.7801

0.7299

\(\alpha _{7}\)

1.0100

0.3290

0.4111

1.6750

\(\gamma\)

-0.2809

0.1697

-0.6027

0.0597

\(\psi\)

-1.3460

0.3874

-2.0940

-0.6185

\(\vartheta\)

-0.1198

0.0926

-0.3091

0.0491

\(\xi\)

-0.6537

0.1535

-0.9614

-0.3621