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Table 4 Summary of performance measures for different model specifications under Scenario I, based on 1000 MC simulation runs with sample sizes n= 1000 and 5000

From: A progressive three-state model to estimate time to cancer: a likelihood-based approach

   

n=1000

n=5000

  

Model

PAR

True

MCM

RMSE

RBa

CV

CR

AW

MCM

RMSE

RBa

CV

CR

AW

M1

λ1

0.03

0.03

0.002

0.3

0.05

0.955

0.01

0.03

0.001

0.0

0.01

0.958

0.00

 

λ2

0.04

0.04

0.005

0.1

0.14

0.960

0.02

0.04

0.003

0.0

0.06

0.955

0.01

M2

α0

− 3.60

− 3.60

0.062

0.0

− 0.02

0.951

0.24

− 3.60

0.027

0.0

−0.01

0.951

0.11

 

α1

− 1.00

−1.00

0.059

0.2

− 0.06

0.942

0.23

− 1.00

0.026

0.2

− 0.03

0.944

0.10

 

λ2

0.04

0.04

0.006

− 0.1

0.15

0.944

0.02

0.04

0.003

0.3

0.07

0.949

0.01

M3

λ1

0.04

0.03

0.002

− 0.1

0.05

0.955

0.01

0.04

0.001

0.0

0.02

0.946

0.00

 

β0

− 3.20

− 3.22

0.142

0.7

− 0.04

0.967

0.57

− 3.20

0.063

0.2

−0.02

0.952

0.25

 

β1

− 0.10

−0.10

0.152

− 1.9

− 1.52

0.946

0.56

− 0.10

0.062

2.5

− 0.62

0.952

0.25

M4

α0

− 3.50

− 3.50

0.056

0.0

− 0.02

0.944

0.22

− 3.50

0.025

0.0

−0.01

0.944

0.10

 

α1

− 0.80

−0.80

0.056

0.2

− 0.07

0.944

0.21

− 0.80

0.024

0.2

− 0.03

0.953

0.10

 

β0

− 4.50

− 4.58

0.394

1.7

− 0.09

0.949

1.45

− 4.51

0.155

0.1

−0.03

0.956

0.63

 

β1

− 1.50

−1.56

0.298

3.7

− 0.20

0.948

1.13

− 1.50

0.123

0.2

− 0.08

0.957

0.49

M5

λ1

0.03

0.03

0.001

0.1

0.05

0.958

0.01

0.03

0.001

0.1

0.01

0.946

0.00

 

κ2

2.00

2.08

0.486

4.0

0.24

0.963

1.82

2.00

0.195

0.2

0.13

0.946

0.77

 

θ2

10.00

10.51

2.966

5.1

0.29

0.928

8.41

10.10

0.768

1.0

0.12

0.959

3.00

M6

α0

− 4.00

− 4.00

0.084

0.1

− 0.04

0.951

0.34

− 4.00

0.038

0.0

−0.01

0.954

0.15

 

α1

− 2.00

−2.01

0.084

0.3

− 0.03

0.950

0.33

− 2.00

0.038

0.1

− 0.01

0.944

0.15

 

κ2

4.00

4.29

3.327

7.3

0.77

0.959

3.82

4.03

0.355

0.8

0.11

0.956

1.40

 

θ2

8.50

8.56

0.630

0.7

0.14

0.949

2.35

8.51

0.260

0.2

0.04

0.954

1.01

M7

λ1

0.04

0.04

0.002

− 0.2

0.04

0.950

0.01

0.04

0.001

0.0

0.01

0.950

0.00

 

κ2

4.10

5.67

6.456

38.3

1.51

0.928

9.21

4.25

0.612

3.5

0.11

0.963

2.26

 

β0

2.50

2.51

0.177

0.5

0.13

0.933

0.68

2.50

0.075

− 0.1

0.04

0.936

0.29

 

β1

3.50

4.75

5.065

35.7

1.38

0.933

6.70

3.59

0.437

2.7

0.13

0.963

1.63

M8

α0

− 3.50

− 3.50

0.060

0.1

− 0.02

0.945

0.23

− 3.50

0.026

0.0

−0.01

0.958

0.10

 

α1

− 1.00

−1.00

0.058

0.2

− 0.06

0.952

0.22

− 1.00

0.026

0.2

− 0.03

0.958

0.10

 

κ2

1.80

1.84

0.408

2.1

0.23

0.955

1.52

1.81

0.171

0.7

0.09

0.945

0.66

 

β0

2.50

2.54

0.227

1.7

0.09

0.946

0.86

2.51

0.090

0.2

0.04

0.954

0.35

 

β1

0.10

0.10

0.184

2.9

1.84

0.956

0.72

0.11

0.082

− 0.5

0.81

0.954

0.31

M9

κ1

0.40

0.40

0.029

0.2

0.07

0.954

0.11

0.40

0.013

0.0

0.03

0.950

0.05

 

θ1

65.00

66.42

11.453

2.2

0.17

0.956

44.21

65.34

4.993

0.5

0.08

0.951

19.09

 

λ2

0.04

0.04

0.005

0.6

0.14

0.948

0.02

0.04

0.002

0.3

0.06

0.946

0.01

M10

κ1

2.00

2.02

0.110

0.8

0.05

0.952

0.41

2.00

0.047

0.2

0.02

0.953

0.18

 

α0

3.50

3.50

0.056

0.0

0.02

0.955

0.23

3.50

0.025

0.0

0.01

0.962

0.10

 

α1

3.50

3.52

0.173

0.7

0.05

0.948

0.65

3.51

0.073

0.2

0.02

0.943

0.29

 

λ2

0.04

0.04

0.006

0.4

0.14

0.953

0.02

0.04

0.003

0.2

0.06

0.947

0.01

M11

κ1

4.00

4.01

0.197

0.3

0.05

0.942

0.76

4.00

0.088

0.1

0.02

0.954

0.34

 

θ1

20.00

20.00

0.300

0.0

0.02

0.936

1.11

20.00

0.130

0.0

0.01

0.939

0.50

 

β0

− 3.50

− 3.55

0.264

1.5

− 0.07

0.960

1.00

− 3.51

0.115

0.2

−0.03

0.941

0.44

 

β1

− 1.50

−1.54

0.234

2.7

− 0.15

0.957

0.89

− 1.51

0.102

0.4

− 0.07

0.949

0.39

M12

κ1

0.50

0.50

0.039

0.7

0.08

0.961

0.16

0.50

0.018

0.1

0.04

0.944

0.07

 

α0

5.00

5.00

0.247

0.1

0.05

0.954

0.98

5.00

0.112

0.1

0.02

0.941

0.44

 

α1

− 2.00

−2.01

0.092

0.3

− 0.05

0.957

0.37

− 2.00

0.043

0.0

− 0.02

0.945

0.16

 

β0

− 1.00

− 0.96

0.273

− 3.5

− 0.27

0.949

1.02

− 1.00

0.112

− 0.4

−0.11

0.952

0.44

 

β1

5.50

5.67

0.789

3.1

0.14

0.962

2.92

5.53

0.314

0.6

0.06

0.954

1.24

M13

κ1

1.50

1.50

0.073

0.0

0.05

0.952

0.29

1.50

0.032

−0.1

0.02

0.956

0.13

 

θ1

23.00

23.04

0.880

0.2

0.04

0.940

3.32

23.01

0.375

0.0

0.02

0.945

1.47

 

κ2

0.80

0.81

0.260

0.9

0.32

0.959

1.01

0.81

0.117

0.8

0.15

0.952

0.45

 

θ2b

28.00

31.01

14.638

10.8

0.51

0.905

43.25

M14

κ1

2.00

2.01

0.115

0.6

0.06

0.946

0.44

2.00

0.049

0.0

0.02

0.952

0.20

 

α0

3.50

3.50

0.061

0.1

0.02

0.936

0.24

3.50

0.027

0.0

0.01

0.949

0.11

 

α1

4.50

4.54

0.232

0.9

0.05

0.949

0.90

4.50

0.100

0.0

0.02

0.955

0.40

 

κ2

2.50

2.55

0.391

2.1

0.15

0.951

1.47

2.52

0.164

0.8

0.07

0.952

0.64

 

θ2

10.00

10.07

0.952

0.7

0.09

0.936

3.46

10.00

0.372

0.0

0.04

0.955

1.46

M15

κ1

1.50

1.50

0.080

0.1

0.05

0.948

0.30

1.50

0.035

0.0

0.02

0.953

0.14

 

θ1

25.00

25.05

1.011

0.2

0.04

0.951

3.97

25.02

0.448

0.1

0.02

0.952

1.77

 

κ2

1.50

1.58

0.489

5.1

0.32

0.958

1.79

1.52

0.196

1.3

0.13

0.962

0.75

 

β0

3.00

3.10

0.536

3.4

0.18

0.920

1.96

3.01

0.197

0.4

0.07

0.947

0.77

 

β1

1.50

1.56

0.307

4.3

0.20

0.966

1.07

1.51

0.117

0.7

0.08

0.941

0.44

  1. PAR, parameter; MCM, Monte Carlo means; RMSE, root mean squared error; RB, relative bias % ; CV, coefficient of variation; CR, coverage rate of a Wald-based 95% confidence interval; AW, average confidence interval width.
  2. Note: λ1 and λ2 represent the exponential rate parameters of the first and second transition times, respectively; α0 and α1 represent the regression intercept and regression coefficient of the covariate wN(0,1) for the first transition time; β0 and β1 represent the regression intercept and regression coefficient of the covariate wN(0,1) for the second transition time; κ1 and κ2 represent the Weibull shape parameters of the first and second transition times, respectively; θ1 and θ2 represent the Weibull scale parameters of the first and second transition times, respectively.
  3. aThe negative signs correspond to underestimation (overestimation) for positive (negative) true values while the positive signs correspond to overestimation (underestimation) for positive (negative) true values. The 0.0 values are due to approximation.
  4. bThe estimates were extremely large due to the small sample size and the small proportion of CRCs