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Table 2 Bias (bold font), coverage (italics font) and MSE (normal font) for simulation scenario 2 comparing the non parametric Pohar Perme estimator, a conditional model (without covariates), regression standardization under proportional hazards (PH), regression standardization under non-proportional hazards (Non PH) and a marginal model. Bias is expressed as a difference in probabilities

From: Direct modelling of age standardized marginal relative survival through incorporation of time-dependent weights

 

Years from diagnosis)

Method

1

5

10

Pohar Perme

0.0001

-0.0000

0.0005

 

94.6

95.1

95.0

 

180.679

416.913

936.228

Conditional Model

0.0092

0.0274

0.0434

 

87.8

61.6

34.9

 

235.224

1052.450

2264.524

Regression standardization (PH)

0.0002

-0.0000

0.0008

 

88.9

96.1

94.7

 

154.728

313.687

395.280

Regression standardization (Non PH) ∗

-0.0001

0.0006

0.0022

 

88.6

96.1

96.7

 

158.038

370.164

630.970

Marginal model

-0.0003

0.0011

0.0046

 

95.5

95.0

93.5

 

151.551

374.557

888.256

Relative % increase in precision +

Regression standardization (PH)

16.8

32.9

137.1

Regression standardization (Non PH) ∗

14.3

12.7

49.4

Marginal model

19.3

11.7

8.0

  1. bias, Coverage, MSE
  2. ∗ 18.3% of models did not converge
  3. + compared to Pohar Perme
  4. PH - proportional hazards
  5. Non PH - non proportional hazards