Causal Mediation Analysis in Multisite Trials
Balance checking for causal mediation analysis in multisite trials
Complex multisite causal mediation analysis with two concurrent mediat...
Causal mediation analysis in multisite trials
Causal mediation analysis in multisite trials in the presence of compl...
A simulated example data
A simulated example data
Variance testing for complex multisite causal mediation analysis with ...
Variance testing for multisite causal mediation analysis
Variance testing for multisite causal mediation analysis in the presen...
Multisite causal mediation analysis using the methods proposed by Qin and Hong (2017) <doi:10.3102/1076998617694879>, Qin, Hong, Deutsch, and Bein (2019) <doi:10.1111/rssa.12446>, and Qin, Deutsch, and Hong (2021) <doi:10.1002/pam.22268>. It enables causal mediation analysis in multisite trials, in which individuals are assigned to a treatment or a control group at each site. It allows for estimation and hypothesis testing for not only the population average but also the between-site variance of direct and indirect effects transmitted through one single mediator or two concurrent (conditionally independent) mediators. This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. This package also provides a function that can further incorporate a sample weight and a nonresponse weight for multisite causal mediation analysis in the presence of complex sample and survey designs and non-random nonresponse, to enhance both the internal validity and external validity. The package also provides a weighting-based balance checking function for assessing the remaining overt bias.
Useful links