Investigating causal questions about temporal and cumulative developmental effects: An introduction to the devMSMs package in R

Many developmentalists are interested in causal questions, including those concerned with the dosage and timing of exposures experienced repeatedly over time. However, causal inferences are challenging with observational data, and common statistical tools (e.g., regression adjustment) break down in the context of time-varying confounding. This paper introduces one powerful causal inference tool for addressing dosage and timing effects, marginal structural models (MSMs). It provides a conceptual