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Table 2 Simulation scenarios

From: Weighted composite time to event endpoints with recurrent events: comparison of three analytical approaches

Scen.

\(\lambda _{M,j}^{I}(t)\)

\(\lambda _{D,j}^{I}(t)\)

\(\lambda _{M,j}^{C}(t)\)

\(\lambda _{D,j}^{C}(t)\)

Weight for fatal event

Weight for non-fatal event

     

Wei-Lachin

Rauch and Bakal

Wei-Lachin

Rauch and Bakal

1a

0.25·0.5

0.25·0.5

0.25

0.25

0.5263

1

0.4737

0.9

1b

proportional time independent hazards for event type

0.5882

1

0.4118

0.7

1c

assumptions for approaches by Wei-Lachin and Rauch fulfilled

0.6667

1

0.3333

0.5

1d

    

0.7692

1

0.2308

0.3

1e

    

0.9091

1

0.0909

0.1

2a

0.25·0.5

0.25·0.7

0.25

0.25

0.5263

1

0.4737

0.9

2b

see Scenario 1 for underlying assumptions

0.5882

1

0.4118

0.7

2c

    

0.6667

1

0.3333

0.5

2d

    

0.7692

1

0.2308

0.3

2e

    

0.9091

1

0.0909

0.1

3a

0.25·0.7

0.25·0.5

0.25

0.25

0.5263

1

0.4737

0.9

3b

see Scenario 1 for underlying assumptions

0.5882

1

0.4118

0.7

3c

    

0.6667

1

0.3333

0.5

3d

    

0.7692

1

0.2308

0.3

3e

    

0.9091

1

0.0909

0.1

4a

0.25·1.5

0.25·0.7

0.25

0.25

0.5263

1

0.4737

0.9

4b

see Scenario 1 for underlying assumptions

0.5882

1

0.4118

0.7

4c

    

0.6667

1

0.3333

0.5

4d

    

0.7692

1

0.2308

0.3

4e

    

0.9091

1

0.0909

0.1

5a

0.25·0.7

0.25·1.5

0.25

0.25

0.5263

1

0.4737

0.9

5b

see Scenario 1 for underlying assumptions

0.5882

1

0.4118

0.7

5c

    

0.6667

1

0.3333

0.5

5d

    

0.7692

1

0.2308

0.3

5e

    

0.9091

1

0.0909

0.1

6a

0.25·0.5

0.1t·0.7

0.25

0.1t

0.5263

1

0.4737

0.9

6b

proportional hazards for each event type

0.5882

1

0.4118

0.7

6c

time dependent hazards for one event type

0.6667

1

0.3333

0.5

6d

assumptions for approaches by Wei-Lachin and Rauch fulfilled

0.7692

1

0.2308

0.3

6e

    

0.9091

1

0.0909

0.1

7a

0.25·0.7

0.1t·0.5

0.25

0.1t

0.5263

1

0.4737

0.9

7b

see Scenario 6 for underlying assumptions

0.5882

1

0.4118

0.7

7c

    

0.6667

1

0.3333

0.5

7d

    

0.7692

1

0.2308

0.3

7e

    

0.9091

1

0.0909

0.1

8a

0.1t·0.5

0.25·0.7

0.1t

0.25

0.5263

1

0.4737

0.9

8b

see Scenario 6 for underlying assumptions

0.5882

1

0.4118

0.7

8c

    

0.6667

1

0.3333

0.5

8d

    

0.7692

1

0.2308

0.3

8e

    

0.9091

1

0.0909

0.1

9a

0.1t·0.7

0.25·0.5

0.1t

0.25

0.5263

1

0.4737

0.9

9b

see Scenario 6 for underlying assumptions

0.5882

1

0.4118

0.7

9c

    

0.6667

1

0.3333

0.5

9d

    

0.7692

1

0.2308

0.3

9e

    

0.9091

1

0.0909

0.1

10a

0.192t−0.2

0.084t−0.3

0.28t−0.3

0.32t−0.2

0.5263

1

0.4737

0.9

10b

non-proportional hazards for both event types (Weibull distributions)

0.5882

1

0.4118

0.7

10c

assumptions for approach by Wei-Lachin not fulfilled

0.6667

1

0.3333

0.5

10d

assumptions for approach by Rauch et al. fulfilled

0.7692

1

0.2308

0.3

10e

    

0.9091

1

0.0909

0.1

11a

0.084t−0.3

0.192t−0.2

0.32t−0.2

0.28t−0.3

0.5263

1

0.4737

0.9

11b

see Scenario 10 for underlying assumptions

0.5882

1

0.4118

0.7

11c

    

0.6667

1

0.3333

0.5

11d

    

0.7692

1

0.2308

0.3

11e

    

0.9091

1

0.0909

0.1

  1. Scen. =Scenario; \(\lambda _{M,j}^{I}(t), \lambda _{D,j}^{I}(t), \lambda _{M,j}^{C}(t)\), and \(\lambda _{D,j}^{C}(t)\) are the hazards for the non-fatal (M) and fatal event (D) in the intervention (I) and control (C) group for all strata j, respectively