Table 2 Results of the simulation study for treatment assignment independent of the marker level, i.e., \(\text{ OR}_{MT}=1\), and a harmful (\(\text{ HR}_M=3\) and \(\text{ HR}_M=6\)) marker effect among patients treated with the standard treatment. The treatment HRs were \(\text{ HR}_{TM_{low}}=1\) and \(\text{ HR}_{TM_{high}}=0.5\), i.e., \(\beta _{TM_{low}}=0\) and \(\beta _{TM_{high}}=-0.69\), the interaction HR was \(\text{ HR}_{I}=0.5\), i.e., \(\beta _{I}=-0.69\), and the proportion of patients with high marker level was \(p_{M}=0.25\). Case-only results were obtained with a Firth-corrected logistic regression, while full cohort results were obtained with a Firth-corrected Cox proportional hazards model.

From: Case-only analysis in small studies of predictive biomarkers

   

Bias

Coverage (%)

Power (%)

 
 

n

e

\(\widehat{\beta }_{TM_{low}}\)

SE(\(\widehat{\beta }_{TM_{low}}\))

\(\widehat{\beta }_{TM_{high}}\)

SE(\(\widehat{\beta }_{TM_{high}}\))

\(\widehat{\beta }_{I}\)

SE(\(\widehat{\beta }_{I}\))

Wald (PL)

Wald (PL)

Nc

HR\(_M=3\)

  Case-only

200

45

0

0.1

0.1

0.8

22.5

0.8

95.1 ( 94.6 )

11.0 ( 12.8 )

10000

400

89

0

\(-\)0.8

0.1

\(-\)0.4

21.6

\(-\)0.2

93.7 ( 93.6 )

21.4 ( 22.6 )

10000

600

133

0

\(-\)0.3

0.1

0.3

20.8

\(-\)0.3

93.2 ( 93.2 )

31.8 ( 32.7 )

10000

  Full cohort

200

45

0

2.3

0

2.6

1.1

2.8

96.2 ( 95.1 )

15.6 ( 18.6 )

10000

400

89

0

0.2

0

0.2

0

0.4

95.3 ( 94.7 )

32.4 ( 34.2 )

10000

600

133

0

0.8

0

1.8

\(-\)1.2

1.6

95.8 ( 95.4 )

47.3 ( 48.8 )

10000

HR\(_M=6\)

  Case-only

200

56

\(-\)0.1

0

0.2

0.1

39.5

0.2

92.4 ( 92.1 )

10.8 ( 11.6 )

10000

400

110

\(-\)0.1

\(-\)0.8

0.2

0.7

39.6

0.6

88.9 ( 89.0 )

18.2 ( 18.7 )

10000

600

165

\(-\)0.1

\(-\)0.2

0.2

0.9

39.2

\(-\)0.2

86.0 ( 86.2 )

26.1 ( 26.5 )

10000

  Full cohort

200

56

0

1.8

0

\(-\)0.1

\(-\)0.1

1.0

95.5 ( 94.8 )

22.2 ( 24.0 )

10000

400

110

0

\(-\)0.1

0

0

\(-\)0.2

0.4

95.4 ( 95.1 )

42.1 ( 43.2 )

10000

600

165

0

0.6

0

0.9

\(-\)1.1

0.7

95.5 ( 95.2 )

59.6 ( 60.2 )

10000

  1. Bias for \(\widehat{\beta }_{TM_{low}}\), \(\widehat{\beta }_{TM_{high}}\) and relative bias (%) for SE(\(\widehat{\beta }_{TM_{low}}\)), SE(\(\widehat{\beta }_{TM_{high}}\)), \(\widehat{\beta }_{I}\), SE(\(\widehat{\beta }_{I}\))
  2. Other parameters: \(\text{ OR}_{MT}=1\), \(\text{ HR}_{TM_{low}}=1\), \(\text{ HR}_{TM_{high}}=0.5\), \(\text{ HR}_{I}=0.5\), \(p_{M}=0.25\)
  3. e, average number of events per dataset; HR, hazard ratio; n, number of patients per dataset in full cohort; Nc, number of converged models; OR, odds ratio; PL, profile likelihood; SE, standard error