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Table 4 Sensitivity analysis of the ‘proposed’ method depending on the underlying frailty distribution in terms of the averages of the relative bias (r.Bias) as well as the standard errors (SEM) and coverage probability (CP) when the type of the regression coefficients is ‘even’ and the LTF proportion is ‘moderate’

From: Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events

  

N(0,0.01)

U(−0.173,0.173)

DE(0.007)

G(100.5,0.01)

  

(LTF(%)=34.2)

(LTF(%)=34.4)

(LTF(%)=34.5)

(LTF(%)=34.5)

Parameter

True value

r.Bias (%)

SEM (×105)

CP (%)

r.Bias (%)

SEM (×105)

CP (%)

r.Bias (%)

SEM (×105)

CP (%)

r.Bias (%)

SEM (×105)

CP (%)

α 01

0.01

18.8

15299

94.0

40.9

15169

94.2

36.7

15215

94.8

-28.7

15089

96.2

α 02

0.01

1.3

24633

93.2

-83.8

24639

97.0

89.0

24401

94.4

45.0

24623

96.6

α 03

0.01

-143.8

17210

94.4

58.9

17266

93.8

-110.5

16925

93.8

119.9

17198

93.6

α 12

0.01

181.1

25925

96.4

-27.9

26141

94.8

27.1

26318

93.2

159.3

25682

95.2

α 32

0.01

-16.5

33404

95.4

-80.1

33158

94.0

-22.5

33619

94.0

-82.4

33595

91.8

β 01

0.004

-4.3

91

94.8

-5.8

90

94.0

-3.3

91

94.0

-6.7

90

92.2

β 02

0.004

2.7

99

96.4

4.9

100

94.8

5.4

101

97.0

4.4

99

95.4

β 03

0.004

-2.2

109

93.2

-2.9

109

91.0

-2.8

110

94.4

-2.9

108

91.8

β 12

0.004

0.1

111

96.6

2.3

111

95.0

0.6

110

94.8

-0.3

111

95.6

β 32

0.004

8.0

174

97.0

0.8

169

96.0

2.9

171

96.8

5.2

170

96.4

σ 2

0.01

955.8

8431

89.2

974.2

8325

89.4

926.1

8284

89.6

928.7

8462

89.2