Cb.poisson: Cb calculations for a Poisson (or negative binomial)...

In msadatsafavi/txBenefit: Estimating Concentration of Benefit (Cb) index and related quantities.

Description

Cb calculations for a Poisson (or negative binomial) regression model.

Usage

Cb.poisson(reg_object, tx_var, semi_parametric = FALSE, time = 1)

Arguments

reg_object	An object of class 'glm' that contains the resuls of the Poisson/NegBin model.
tx_var	A string containing the name of the treatment indicator variable.
semi_parametric	Optional (default=FALSE). If TRUE, the semi-parametric estimator for Cb will be returned.
time	Optional (default=1). The value of time at which Cb is calculated.

Value

This function returns an object of class Cb_output, which includes Cb as a member.

Examples

data("rct_data")
reg<-glm(formula = n_exac ~ tx + sgrq + prev_hosp + prev_ster + fev1, data = rct_data, family = poisson(link="log"), offset=ln_time)
res.Poisson<-Cb.Poisson(reg,tx_var = "tx", semi_parametric = T)
res.Poisson

msadatsafavi/txBenefit documentation built on Feb. 3, 2020, 10:32 a.m.