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- Introduction to Causal Inference
- Bayesian Nonparametric Methods for Causal Inference and Prediction
- Causal Inference: What If
- Causal Inferences from Many Experiments
- Variable-Lag Granger Causality for Time Series Analysis
- Graphical Models for Quasi-Experimental Designs
- Causal Inference with Panel Data
- Causal Inference
- Epidemiology, Risk and Causation Conceptual and Methodological Issues in Public Health Science Alex Broadbent Background
- A Chill Intro to Causal Inference Via Propensity Scores George Berry ([email protected], @George Berry) 3/10/2019, Version 1.0.1
- Testing Causal Hypotheses Using Longitudinal Survey Data: a Modest Proposal for Modest Improvement Thomas D
- An Introduction to Causal Inference Fabian Dablander1
- Experimental and Quasi-Experimental Designs for Generalized Causal
- Theory-Based Causal Inference
- Causal Inference in Environmental Epidemiology
- Causal Inference in Randomized and Non-Randomized Studies: the Definition, Identification, and Estimation of Causal Parameters
- Bootstrap Inference for Propensity Score Matching
- Propensity Score Methods for Causal Inference
- Causal Inference in Civil Rights Litigation
- Causal Inference for Real-World Evidence: Propensity Score Methods and Case Study
- Bayesianism and Causality, Or, Why I Am Only a Half-Bayesian
- Causal Inference on Time Series Using Restricted Structural Equation Models
- Bayesian Networks and the Search for Causality
- Causal Inference: Classical Approaches
- Causal Inference Via Natural Experiments and Instrumental Variables: the Effect of “Knifing Off” from the Past
- Confounding Equivalence in Causal Inference
- Causation, Truth, and the Law
- Causal Inference from Cross-Lagged Correlation Coeficients
- Causal Inference in Epidemiology: Implications for Toxic Tort Litigation Melissa Moore Thompson
- Causal Inference! Conditional Independences and Beyond!
- Natural Experiments in the Social Sciences
- Causal Inference in Observational Studies and Experiments: Theory and Applications
- Week 3: Causal Inference
- On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives1
- A Bayesian Model for Bivariate Causal Inference
- From Dependency to Causality: a Machine Learning Approach
- Causal Inference from Multivariate Time Series: Principles and Problems Michael Eichler
- Scientific Evidence of Factual Causation an Educational Module
- Causal Inference in Machine Learning
- Experimental Designs for Identifying Causal Mechanisms
- Causality and Graphical Models in Time Series Analysis
- Quasi-Experimental Design and Methods
- Randomized Experiments and Observational Studies: Causal Inference in Statistics
- Statistics and Causal Inference
- Best Practices in Quasi-Experimental Designs: Matching Methods For
- Confounding Equivalence in Causal Inference
- Propensity Score-Based Methods for Causal Inference in Observational
- Causal Inference in Time Series Via Supervised Learning
- Epidemiology: the Big Picture
- Bayesian Causal Inference: a Tutorial
- A Survey on Causal Inference
- Using Strong Inference to Answer Causal Questions in Spinal Cord Injury Research
- Robust Testing for Causal Inference in Observational Studies
- Experimental Designs for Identifying Causal Mechanisms∗
- Introduction to Causal Inference (ICI)
- Generalizing the Propensity Score