Identification and estimation of mediational effects of longitudinal modified treatment policies
Year: 2024
Type: article
Abstract: We demonstrate a comprehensive semiparametric approach to causal mediation analysis, addressing the complexities inherent in settings with longitudinal and continuous treatments, confounders, and mediators. Our methodology utilizes a nonparametric structural equation model and a cross-fitted sequential regression technique based on doubly robust pseudo-outcomes, yielding an efficient, asymptotically normal estimator without relying on restrictive parametric modeling assumptions. We are motivated by a recent scientific controversy regarding the effects of invasive mechanical ventilation on the survival of COVID-19 patients, considering acute kidney injury as a mediating factor. We highlight the possibility of "inconsistent mediation," in which the direct and indirect effects of the exposure operate in opposite directions. We discuss the significance of mediation analysis for scientific understanding and its potential utility in treatment decisions.
Source: Biostatistics
Authors: Brian Gilbert, Katherine Hoffman, Nicholas Williams, Kara Rudolph, Edward J Schenck, Iván Díaz
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Award: G6189804798
OpenAlex ID: W4416202197
