Report the number of missing observations for each variables of interest relevant for the analysis
report_missing(data, yvar, avar, mvar, cvar, eventvar)Data frame containing the following relevant variables.
A character vector of length 1. Outcome variable name. It should be the time variable for the survival outcome.
A character vector of length 1. Treatment variable name.
A character vector of length 1. Mediator variable name.
A character vector of length > 0. Covariate names. Use NULL if there is no covariate. However, this is a highly suspicious situation. Even if avar is randomized, mvar is not. Thus, there are usually some confounder(s) to account for the common cause structure (confounding) between mvar and yvar.
An character vector of length 1. Only required for survival outcome regression models. Note that the coding is 1 for event and 0 for censoring, following the R survival package convention.
No return value, called for side effects.