PoD: Probability of disease calculation

In PoDBAY: Vaccine Efficacy Estimation Package

Description

Function calculates probability of disease (PoD) corresponding to given titers according to a sigmoid PoD curve.

Usage

PoD(titer, pmax, et50, slope, adjustTiters = FALSE, adjustFrom = 0, adjustTo = 0)

Arguments

titer	numeric vector: subject level titers
pmax	numeric: maximum PoD
et50	numeric: titer values corresponding to pmax/2 value, PoD(et50) = pmax/2
slope	numeric: slope of the PoD curve
adjustTiters	boolean: set to TRUE if titer values should be adjusted, for details see PoD function
adjustFrom	numeric: value specifying the detection limit, all values below the detection limit will be adjusted to adjustTo value
adjustTo	numeric: value to which titers below the detection limit will be adjusted

Details

PoD is calculated as:

PoD = pmax * (et50/titer)^(slope) / (1+ (et50/titer)^(slope), for titers > 0

and

PoD = pmax for titers <= 0

.

Value

vector of PoDs

Examples

data(vaccinated)
data(PoDParams)

PoD(vaccinated$titers, pmax = PoDParams$pmax, et50 = PoDParams$et50, slope = PoDParams$slope)

PoDBAY documentation built on Sept. 21, 2021, 5:08 p.m.