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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