Social epidemiologists often seek to determine the mechanisms that underlie health disparities. This work is typically based on mediation procedures that may not be justified with exposures of common interest in social epidemiology. This tool allows us to explore the consequences of using standard approaches, referred to as the difference and generalized product methods, when mediatoroutcome confounders are associated with the exposure. Available models are: 1) The inverse probabilityweighted marginal structural models, 2) The structural transformation method, 3) The doubly robust gestimation of a structural nested model, and 4) The doubly robust targeted minimum lossbased estimation. This allows the user to explore ways in which a Standard approach for mediation analysis can yield misleading results. Also implemented are nonparametric boostrapping methods for confidence interval evaluation. For more information, please see: Naimi, A. I., Schnitzer, M. E., Moodie, E. E. M., & Bodnar, L. M. (2016). Mediation Analysis for Health Disparities Research. American Journal of Epidemiology, 184(4), 315–324. https://doi.org/10.1093/aje/kwv329
Package details 


Author  Ashley Naimi 
Maintainer  Ashley Naimi <ashley.naimi@pitt.edu> 
License  GPL3 
Version  0.1.2 
Package repository  View on GitHub 
Installation 
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