[PDF][PDF] Methods in causal inference part 1: Causal diagrams and confounding
JA Bulbulia - Evolutionary Human Sciences, 2024 - files.osf.io
Causal inference requires contrasting counterfactual states of the world under pre-specified
interventions. Obtaining counterfactual contrasts from data relies on explicit assumptions …
interventions. Obtaining counterfactual contrasts from data relies on explicit assumptions …
[PDF][PDF] Methods in causal inference part 2: Interaction, mediation, and time-varying treatments
JA Bulbulia - Evolutionary Human Sciences, 2024 - files.osf.io
Abstract 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 …
widespread in the human sciences, yet subject to confusion. To clarify these concepts, it is …
[PDF][PDF] Causal inference for interaction, mediation, and time-varying treatments
J Bulbulia - 2024 - files.osf.io
Abstract 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 …
widespread in the human sciences, yet subject to confusion. To clarify these concepts, it is …
General targeted machine learning for modern causal mediation analysis
Causal mediation analyses investigate the mechanisms through which causes exert their
effects, and are therefore central to scientific progress. The literature on the non-parametric …
effects, and are therefore central to scientific progress. The literature on the non-parametric …
Identification and estimation of mediational effects of longitudinal modified treatment policies
We demonstrate a comprehensive semiparametric approach to causal mediation analysis,
addressing the complexities inherent in settings with longitudinal and continuous treatments …
addressing the complexities inherent in settings with longitudinal and continuous treatments …
When Do Natural Mediation Effects Differ from Their Randomized Interventional Analogues: Test and Theory
In causal mediation analysis, the natural direct and indirect effects (natural effects) are
nonparametrically unidentifiable in the presence of treatment-induced confounding, which …
nonparametrically unidentifiable in the presence of treatment-induced confounding, which …
Sequential Ignorability and Dismissible Treatment Components to Identify Mediation Effects
Mediation analysis is a useful tool to study the mechanism of how a treatment exerts effects
on the outcome. Classical mediation analysis requires a sequential ignorability assumption …
on the outcome. Classical mediation analysis requires a sequential ignorability assumption …
[PDF][PDF] Causal Effects of Religious Service Attendance: Evidence Using Novel Measures From A National Longitudinal Panel
Causal investigations for the effects of religion on prosociality must be precise. One must
articulate a specific causal contrast for a feature of religion, select appropriate prosociality …
articulate a specific causal contrast for a feature of religion, select appropriate prosociality …
[PDF][PDF] Causal Effects of Religious Service Attendance on Charity and Volunteering: Evidence Using Novel Measures From A National Longitudinal Panel
Causal investigations for the effects of religion on prosociality must be precise. One should
articulate a specific causal contrast for a feature of religion, select appropriate prosociality …
articulate a specific causal contrast for a feature of religion, select appropriate prosociality …
[PDF][PDF] Causal Effects of Religious Service Attendance on Charity and Volunteering Using Novel Measures From A National Longitudinal Panel
Investigations into the causal effects of religion on prosociality must be precise. Researchers
must articulate a specific causal contrast for a religious feature, select appropriate …
must articulate a specific causal contrast for a religious feature, select appropriate …