calc.CER.lrm: Calculate effect sizes for CER analyses

In bgravesteijn/bgravesteijn: My favorite functions

Description

This function uses two-stage least squares regression to estimate a causal treatment effect with an instrumental variable. For info or explanation, please contact: [e-mail]

Usage

calc.CER.lrm(mids.data = NULL, orig.data = NULL, instrument = NULL,
  therapy = NULL, outcome = NULL, subset.cer = NULL)

Arguments

mids.data	A MIDS: a MICE imputed dataset
orig.data	The original data.frame/data.table which was imputed
instrument	A character of the name of the instrumental variable
therapy	A character of the name of the therapy
outcome	A character of the outcome parameter
subset.cer	A logical vector (with length equal to the number of cases), which indicates included and excluded cases

Value

Returns a vector of the estimate with 95

bgravesteijn/bgravesteijn documentation built on Aug. 13, 2019, 6:32 p.m.