relRisk: Fit a Relative Risk Model for Binary data with Log Link

In geepack: Generalized Estimating Equation Package

Fit a Relative Risk Model for Binary data with Log Link

Description

Fit a Relative Risk Model for Binary data with Log Link using the COPY method.

Usage

relRisk(
  formula,
  id,
  waves = NULL,
  data = parent.frame(),
  subset = NULL,
  contrasts = NULL,
  na.action = na.omit,
  corstr = "indep",
  ncopy = 1000,
  control = geese.control(),
  b = NULL,
  alpha = NULL
)

Arguments

formula	same as in geese
id	same as in geese
waves	same as in geese
data	same as in geese
subset	same as in geese
contrasts	same as in geese
na.action	same as in geese
corstr	same as in geese
ncopy	the number of copies of the original data in constructing weight.
control	same as in geese
b	initial values for regression coefficients as in geese but more difficult to obtain due to the log link.
alpha	same as in geese

Value

An object of class "geese" representing the fit.

Author(s)

Jun Yan [e-mail]

References

Lumley, T., Kornmal, R. and Ma, S. (2006). Relative risk regression in medical research: models, contrasts, estimators, and algorithms. UW Biostatistics Working Paper Series 293, University of Washington.

Examples

## this example was used in Yu and Yan (2010, techreport)
data(respiratory)
respiratory$treat <- relevel(respiratory$treat, ref = "P")
respiratory$sex <- relevel(respiratory$sex, ref = "M")
respiratory$center <- as.factor(respiratory$center)
## 1 will be the reference level

fit <- relRisk(outcome ~ treat + center + sex + age + baseline + visit,
               id = id, corstr = "ar1", data = respiratory, ncopy=10000)
summary(fit)
## fit <- relRisk(outcome ~ treat + center + sex + age + baseline + visit,
##               id = id, corstr = "ex", data = respiratory)
## summary(fit)
## fit <- relRisk(outcome ~ treat + center + sex + age + baseline + visit,
##                id = id, corstr = "indep", data = respiratory)
## summary(fit)

geepack documentation built on Aug. 16, 2022, 5:07 p.m.