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Table 2 Scenario (II): performance of the estimated propensity score (PS) model

From: Treatment effect estimation using the propensity score in clinical trials with historical control

Performance measurement

PS model

Outcome event rate

Odds ratio

1.0

2.0

5.0

10.0

Bias

\(\pi\) (without \(X_\textit{r}\))

50%

0.169

0.151

0.135

0.128

10%

0.154

0.155

0.151

0.151

5%

0.135

0.153

0.172

0.190

\({\pi }^{*}\) (with \(X_\textit{r}\))

50%

0.044

0.026

0.010

0.006

10%

0.029

0.034

0.035

0.038

5%

0.007

0.032

0.062

0.091

MSE

\(\pi\)

50%

0.053

0.049

0.052

0.065

10%

0.090

0.079

0.080

0.092

5%

0.154

0.132

0.140

0.212

\({\pi }^{*}\)

50%

0.036

0.038

0.050

0.070

10%

0.094

0.080

0.084

0.103

5%

0.183

0.150

0.161

0.248

Coverage (%)

\(\pi\)

50%

81.5

85.6

90.4

92.7

10%

89.6

89.6

90.6

92.6

5%

91.8

92.1

93.2

94.9

\({\pi }^{*}\)

50%

94.4

95.1

94.7

94.3

10%

94.5

94.1

94.1

94.1

5%

94.1

94.2

93.7

93.8

Type I error and power (%)

\(\pi\)

50%

18.5

99.9

100.0

100.0

10%

10.4

94.2

100.0

100.0

5%

8.2

74.7

100.0

100.0

\({\pi }^{*}\)

50%

5.6

96.1

100.0

100.0

10%

5.5

74.9

99.9

100.0

5%

5.8

52.5

98.8

99.9

  1. \(\pi\) (without \(X_\textit{r}\)): the conventional method, \({\pi }^{*}\) (with \(X_\textit{r}\)): the proposed method