Fit Doubly Robust Weighted Generalized Estimating Equations
Analyzes longitudinal data with doubly robust augmented GEE approach.
drgee(model,outcomemodel, data, id, family, corstr, scale = NULL,
mismodel = NULL, nameTRT, maxit=200, tol=0.001)model |
an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted. |
outcomemodel |
an object of class "formula" (or one that can be coerced to that class): a symbolic description of the ouctome model |
data |
a data frame containing the variables in the model. |
id |
a vector which identifies the clusters. The length of "id" should be the same as the number of observations. Data are assumed to be sorted so that observations on a cluster are contiguous rows for all entities in the formula. |
family |
a description of the error distribution and link function to be used in the model. This is a character string naming a family function. The following are permitted: "gaussian", "binomial", "poisson". |
corstr |
a character string specifies the working correlation structure. The following are permitted: "independence", "exchangeable", "ar1","unstructured". |
nameTRT |
name of the variable containing information for the treatment |
scale |
a numeric variable giving the value to which the scale parameter should be fixed; if NA, the scale parameter is not fixed. |
mismodel |
an object of class "formula" (or one that can be coerced to that class): a symbolic description of the missingness model to be fitted. |
maxit |
maximum iteration number for Newton-Raphson algorithm. |
tol |
the tolorance for the Newton-Raphson algorithm to converge. |
Analyzes longitudinal data with doubly robust augmented GEE approach.
An object of type 'CRTgeeDR'
Zheng Li, Cong Xu and Ming Wang
Augmented GEE for improving efficiency and validity of estimation in cluster randomized trials by leveraging cluster-and individual-level covariates -2012-Stephens A., Tchetgen Tchetgen E. and De Gruttola V. : Stat Med 31(10)-915-930.
https://cran.r-project.org/web/packages/CRTgeeDR/index.html
data(imps)
fit <- drgee(IMPS79 ~ Drug+Sex+Time, IMPS79 ~ Drug+Sex+Time,
data=imps, id=imps$ID, family="gaussian",nameTRT="Drug",
corstr="exchangeable", scale=NULL, mismodel= R ~ Drug+Time)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.