Skip to main content

Table 1 Prentice framework simulation results

From: Assessing correlates of protection in vaccine trials: statistical solutions in the context of high vaccine efficacy

logit model 4

\(\hat {VE}\)

p(S)<α

p(Z)<α

p(S)<α & p(Z)≥α

Linear

0.41

1.00

0.05

0.95

Non-linear

0.41

1.00

0.05

0.95

Scaled logit

0.41

1.00

0.03

0.96

Linear

0.75

1.00

0.10

0.90

Non-linear

0.75

1.00

0.04

0.96

Scaled logit

0.75

1.00

0.04

0.96

Linear

0.86

1.00

0.22

0.78

Non-linear

0.86

1.00

0.05

0.95

Scaled logit

0.86

1.00

0.04

0.96

Linear

0.96

1.00

0.34

0.66

Non-linear

0.96

1.00

0.04

0.96

Scaled logit

0.96

0.99

0.03

0.96

  1. Power (α=0.05) to assess Prentice criterion 4 using classical (linear) and flexible (non-linear) model 4 in case of full mediation (data generated using scaled logit model 3). \(\hat {VE}\): estimated VE; p(S)<α: power to detect the Surrogate effect; p(Z)<α: type-I error of the treatment effect; p(S)<α & p(Z)≥α: power to meet Prentice criterion 4