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Table 3 Performance in terms of parameters estimation (\( {\widehat{\beta}}_{age},{\widehat{\beta}}_{treatment},\kern0.5em \widehat{\boldsymbol{\alpha}}\Big) \) with rescaled B-spline (RBS) and Cox model in various scenarios

From: Correcting for misclassification and selection effects in estimating net survival in clinical trials

Method & Misc.

Scenario 1 (α = 1)

Scenario 2 (α = 0.5)

Scenario 3 (α = 2)

Scenario 4 (α = 4)

RBias

RMSE

ECR

RBias

RMSE

ECR

RBias

RMSE

ECR

RBias

RMSE

ECR

\( {\widehat{\beta}}_{age} \)age = 0.05)

CSS methods

Cox & 0%

0.528

0.392

94.5

0.360

0.388

95.7

0.170

0.389

94.8

0.802

0.388

94.8

Cox & 20%

0.552

0.392

94.4

0.355

0.389

96.3

0.128

0.391

95.2

0.709

0.389

94.6

Cox & 30%

0.612

0.392

94.7

0.446

0.388

96.1

0.141

0.391

95.1

0.832

0.389

94.6

PNS methods

            

RBS

−0.489

0.444

96.4

−1.749

0.295

97.1

0.417

0.686

94.04

2.006

1.065

91.7

\( {\widehat{\beta}}_{treatment} \)(βtreatment =  − 0.5)

CSS methods

Cox & 0%

0.869

0.392

94.8

−0.075

0.388

95.5

0.245

0.389

94.8

−0.311

0.388

93.9

Cox & 20%

1.027

0.392

95.2

0.042

0.389

95.3

0.710

0.391

94.6

−0.044

0.389

93.7

Cox & 30%

0.820

0.392

94.7

−0.271

0.388

95.3

0.773

0.391

95.8

0.095

0.389

94.3

PNS methods

RBS

1.920

0.234

95.6

3.209

0.155

97.1

0.774

0.391

95.8

−1.083

1.032

92.3

\( \widehat{\alpha} \)

0.060

0.444

92.6

15.754

0.305

90.8

−5.863

0.696

93.6

−7.419

1.105

94.9

  1. Misc Misclassification rate, RMSE root mean square error, ECR empirical coverage rate, CSS cause-specific survival, PNS population-based net survival, RBS rescaled B-spline, RBias relative bias