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Table 2 Comparison of approaches for the estimation of natural effects on the odds ratio scale for Scenario 2 with a continuous mediator (based on 1000 data sets of size \(n=1000\))

From: An empirical evaluation of approximate and exact regression-based causal mediation approaches for a binary outcome and a continuous or a binary mediator for case-control study designs

Effect

Approach

True value

Mean

Bias

Relative bias (%)

SD

RMSE

CP (%) delta

CP (%) boot

NDE

Approx_Naive

1.622

1.840

0.218

13.445

0.285

0.358

88.1

86.6

Approx_C

1.622

1.727

0.105

6.450

0.258

0.278

92.8

93.3

Approx_IPW

1.622

1.752

0.130

8.028

0.266

0.296

92.4

91.6

Exact_Naive

1.622

1.505

-0.117

-7.240

0.209

0.240

89.6

90.1

Exact_IPW

1.622

1.652

0.030

1.835

0.238

0.239

94.7

94.7

Unified

1.622

1.719

0.097

5.978

0.254

0.272

93.6

-

NIE

Approx_Naive

1.585

1.903

0.318

20.080

0.192

0.372

62.6

51.9

Approx_C

1.585

1.547

-0.038

-2.385

0.108

0.114

98.7

92.0

Approx_IPW

1.585

1.653

0.068

4.296

0.130

0.147

98.5

92.0

Exact_Naive

1.585

1.737

0.152

9.611

0.124

0.197

79.6

76.5

Exact_IPW

1.585

1.592

0.007

0.431

0.108

0.108

99.0

95.1

Unified

1.585

1.525

-0.060

-3.797

0.095

0.113

88.1

-

TE

Approx_Naive

2.571

3.507

0.936

36.411

0.680

1.157

68.4

64.1

Approx_C

2.571

2.659

0.089

3.460

0.361

0.372

98.1

94.8

Approx_IPW

2.571

2.886

0.316

12.280

0.433

0.536

94.1

87.2

Exact_Naive

2.571

2.605

0.034

1.332

0.346

0.348

94.9

94.3

Exact_IPW

2.571

2.619

0.049

1.892

0.351

0.354

97.1

95.0

Unified

2.571

2.610

0.040

1.540

0.347

0.349

95.2

-

  1. boot Bootstrap, CP Coverage probability, NDE Natural direct effect, NIE Natural indirect effect, RMSE Root mean squared error, SD Standard deviation, TE Total effect