Recent developments in causal inference and machine learning
This article reviews recent advances in causal inference relevant to sociology. We focus on
a selective subset of contributions aligning with four broad topics: causal effect identification …
a selective subset of contributions aligning with four broad topics: causal effect identification …
On the causal interpretation of randomised interventional indirect effects
CH Miles - Journal of the Royal Statistical Society Series B …, 2023 - academic.oup.com
Identification of standard mediated effects such as the natural indirect effect relies on heavy
causal assumptions. By circumventing such assumptions, so-called randomised …
causal assumptions. By circumventing such assumptions, so-called randomised …
A reinforcement learning framework for dynamic mediation analysis
Mediation analysis learns the causal effect transmitted via mediator variables between
treatments and outcomes, and receives increasing attention in various scientific domains to …
treatments and outcomes, and receives increasing attention in various scientific domains to …
Investigating a paradox: toward a better understanding of the relationships between racial group membership, stress, and major depressive disorder
Epidemiologic studies in the United States routinely report a lower or equal prevalence of
major depressive disorder (MDD) for Black people relative to White people. Within racial …
major depressive disorder (MDD) for Black people relative to White people. Within racial …
Helped into harm: Mediation of a housing voucher intervention on mental health and substance use in boys
Background: Interventions can have harmful effects among subgroups they intend to help.
The Moving To Opportunity experiment, in which families were randomized to receive a …
The Moving To Opportunity experiment, in which families were randomized to receive a …
Transporting a prediction model for use in a new target population
JA Steingrimsson, C Gatsonis, B Li… - American Journal of …, 2023 - academic.oup.com
Epidemiologic studies in the United States routinely report a lower or equal prevalence of
major depressive disorder (MDD) for Black people relative to White people. Within racial …
major depressive disorder (MDD) for Black people relative to White people. Within racial …
Causal survival analysis under competing risks using longitudinal modified treatment policies
Longitudinal modified treatment policies (LMTP) have been recently developed as a novel
method to define and estimate causal parameters that depend on the natural value of …
method to define and estimate causal parameters that depend on the natural value of …
Methods in causal inference. Part 1: causal diagrams and confounding
JA Bulbulia - Evolutionary Human Sciences, 2024 - cambridge.org
Causal inference requires contrasting counterfactual states under specified interventions.
Obtaining these contrasts from data depends on explicit assumptions and careful, multi-step …
Obtaining these contrasts from data depends on explicit assumptions and careful, multi-step …
Methods in causal inference. Part 2: Interaction, mediation, and time-varying treatments
JA Bulbulia - Evolutionary Human Sciences, 2024 - cambridge.org
The analysis of 'moderation','interaction','mediation'and 'longitudinal growth'is widespread in
the human sciences, yet subject to confusion. To clarify these concepts, it is essential to state …
the human sciences, yet subject to confusion. To clarify these concepts, it is essential to state …
Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders
Mediation analysis is appealing for its ability to improve understanding of the mechanistic
drivers of causal effects, but real-world data complexities challenge its successful …
drivers of causal effects, but real-world data complexities challenge its successful …