bias.factor: E-value and Controlled Risk Curve

In marginalizedRisk: Estimating Marginalized Risk

E-value and Controlled Risk Curve

Description

Compute E-values (Equation 4 in Gilbert et al.) and controlled risk curve bias factor (Equation 6 in Gilbert et al.).

Usage

bias.factor(RRud, RReu)

E.value(rr)

controlled.risk.bias.factor(ss, s.cent, s1, s2, RRud)

Arguments

RRud	RRud
RReu	RReu
rr	rr
ss	A vector of marker values
s.cent	Central marker value
s1	s1 and s2 are a pair of marker values for which we set a RRud.
s2	s2

Details

These three functions constitute an implementation of the core functionality in Gilbert et al. (2020). For examples on how to use these functions, see the code for Gilbert et al. at https://github.com/youyifong/CoPveryhighVE

Value

controlled.risk.bias.factor returns a vector of bias factors corresponding to the vector of marker values in ss.

References

Gilbert, Fong, Carone (2020) Assessment of Immune Correlates of Protection via Controlled Riskof Vaccine Recipients

marginalizedRisk documentation built on May 29, 2024, 5:52 a.m.