The purpose of this function is to prepare the dataset and the counter-factual model for estimation and is the first step pf the pscfit.R process. The output is a complete-case dataset where the data names match the variables used in the CFM.
# S3 method for glm
dataComb(CFM, DC, id = NULL, trt = NULL)a list containing objects which specifiy the required exported components of the model and a cleaned data cohort. Attirbutes of the 'cleaned' object include: Attributes include
'model.type' specifying the class of model to be used as the CFM
'model_extract' sepcifying the model componets required for estimation
'cov' a cleaned dataset of covariates
'outcome' a cleaned dataset containing the outcomes
a model object supplied to pscfit
a dataset including covariates to match the CFM
to specify which observations in the data cohort should be evaluated. Defualts to 'NULL' i.e all observations
used to specify multiple treatment effects. Defaults to NULL