bias.factor {marginalizedRisk} | R Documentation |
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
[Package marginalizedRisk version 2024.5-17 Index]