Graphical Causal Models

2013/01/01 by Felix Elwert · 1 voice · 23 citations
Computer Science · #Bayesian Modeling and Causal Inference

paper · doi:10.1007/978-94-007-6094-3_13

Citations

• Association, Causation, And Marginal Structural Models
• Estimating causal effects of treatments in randomized and nonrandomized studies.
• The central role of the propensity score in observational studies for causal effects
• The Consquences of Adjustment for a Concomitant Variable That Has Been Affected by the Treatment
• The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.

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• The Causal Cookbook: Recipes for Propensity Scores, G-Computation, and Doubly Robust Standardization
• Collinearity isn't a disease that needs curing
• Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data
• Comparing migrants’ and stayers’ happiness: Addressing incomplete information via a bounds analysis
• These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis
• The Future Strikes Back: Using Future Treatments to Detect and Reduce Hidden Bias
• A Tutorial on Causal Inference in Longitudinal Data With Time-Varying Confounding Using G-Estimation
• Drug Side Effect Symptoms and Adherence to Antihypertensive Medication
• Predictive models aren't for causal inference
• A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations
• The causal interpretation of estimated associations in regression models
• Carbon finance initiatives can provide biodiversity benefits
• Seven Principles for Assessing Effectively Maintained Inequality

Discussions

• I love this chapter by Felix Elwert, who writes for a sociology audience and is a very clear writer: doi.org/10.1007/978-... [bsky, 25 points, 0 comments]