Table 1 The comparison of causal variable determination for the PORTEC dataset among ICP, NICP and the proposed method

From: Automated causal inference in application to randomized controlled clinical trials

 

ICP

NICP

Proposed (warm-up)

Proposed (complete)

Causal determination of P

 Pathological

    

  Myometrial invasion

No

Yes

55.33%

52.13%

  Grade

No

Yes

62.72%

60.71%

  LVSI

No

Yes

60.68%

59.41%

 Sanity check

    

  Tissue area

No

Yes

49.31%

35.96%

  Patient ID

No

Yes

50.93%

20.61%

Causal determination of PM

 Pathological

    

  Myometrial invasion

No

Yes

54.62%

53.16%

  Grade

No

Yes

60.44%

60.42%

  LVSI

No

Yes

62.13%

60.87%

 Molecular

    

  L1CAM

No

Yes

60.27%

60.43%

  POLEmut

No

Yes

49.91%

50.02%

  MMRd

No

Yes

49.20%

49.25%

  p53abn

No

Yes

64.67%

63.92%

 Sanity check

    

  Tissue area

No

Yes

49.77%

24.94%

  Patient ID

No

Yes

48.98%

17.48%

Causal determination of PMI

 Pathological

    

  Myometrial invasion

No

Yes

55.22%

53.84%

  Grade

No

Yes

59.39%

59.74%

  LVSI

No

Yes

61.88%

60.56%

 Molecular

    

  L1CAM

No

Yes

59.91%

59.92%

  POLEmut

No

Yes

50.08%

50.46%

  MMRd

No

Yes

49.10%

49.40%

  p53abn

No

Yes

63.82%

62.91%

 Immune

    

  CD8+ cell density

No

Yes

56.33%

56.14%

 Sanity check

    

  Tissue area

No

Yes

49.58%

21.12%

  Patient ID

No

Yes

49.18%

22.89%

  1. The causal variable determination of pathological variables (P), pathological and molecular variables (PM), and pathological, molecular and immune variables (PMI). Here, we report yes (causal) or no (non-causal) for ICPs and causal probability for the proposed AutoCI. The proposed (warm-up) refers to steps 1 and 2 of the pseudo code in Fig. 1.