Mediation Analysis for Count and Zero-Inflated Count Data
Description
Performs causal mediation analysis for count and zero-inflated
count data without or with a post-treatment confounder; calculates power
to detect prespecified causal mediation effects, direct effects, and
total effects; performs sensitivity analysis when there is a treatment-
induced mediator-outcome confounder as described by Cheng, J., Cheng, N.F.,
Guo, Z., Gregorich, S., Ismail, A.I., Gansky, S.A. (2018)
. Implements Instrumental Variable (IV)
method to estimate the controlled (natural) direct and mediation effects,
and compute the bootstrap Confidence Intervals as described by Guo, Z.,
Small, D.S., Gansky, S.A., Cheng, J. (2018) . This
software was made possible by Grant R03DE028410 from the National
Institute of Dental and Craniofacial Research, a component of the National
Institutes of Health.
