Iván Díaz: Recanting twins: addressing intermediate confounding in mediation analysis

Iván Díaz: Recanting twins: addressing intermediate confounding in mediation analysis

01:06:28 |

Related Videos

Andrew Gelman: Better than difference-in-differences

1:15:58

Andrew Gelman: Better than difference-in-differences

Kosuke Imai: The Cram Method for Efficient Simultaneous Learning and Evaluation

59:31

Kosuke Imai: The Cram Method for Efficient Simultaneous Learning and Evaluation

Peng Ding: Randomization and Regression Adjustment

1:02:12

Peng Ding: Randomization and Regression Adjustment

Interview with Philip Dawid

1:00:44

Interview with Philip Dawid

Caleb Miles: Two fundamental problems in causal mediation analysis

1:17:31

Caleb Miles: Two fundamental problems in causal mediation analysis

Wang Miao: Introducing the specificity score: a measure of causality beyond P value

1:05:52

Wang Miao: Introducing the specificity score: a measure of causality beyond P value

Anish Agarwal: Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions

1:00:10

Anish Agarwal: Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions

Online Causal Inference Joint Seminar: Georgia Papadogeorgou and Lihua Lei

1:03:20

Online Causal Inference Joint Seminar: Georgia Papadogeorgou and Lihua Lei

Fan Li: A tutorial on Bayesian causal inference

1:03:19

Fan Li: A tutorial on Bayesian causal inference

Rodrigo Pinto: What is causality? How to express it? And why it matters

1:09:03

Rodrigo Pinto: What is causality? How to express it? And why it matters

Fan Yang: Mediation analysis with the mediator and outcome missing not at random

1:01:21

Fan Yang: Mediation analysis with the mediator and outcome missing not at random

Elizabeth Ogburn: Social network dependence, unmeasured confounding, and the replication crisis

59:34

Elizabeth Ogburn: Social network dependence, unmeasured confounding, and the replication crisis

Jonas Peters, Nicola Gnecco, Sorawit Saengkyongam: Invariance-based Generalization and Extrapolation

59:05

Jonas Peters, Nicola Gnecco, Sorawit Saengkyongam: Invariance-based Generalization and Extrapolation

Mihaela van der Schaar: The (Causal) Discovery Ladder: Unravelling Governing Equations and Beyond

48:51

Mihaela van der Schaar: The (Causal) Discovery Ladder: Unravelling Governing Equations and Beyond

Online Causal Inference Joint Seminar: Falco Bargagli Stoffi and Eli Ben-Michael

1:04:11

Online Causal Inference Joint Seminar: Falco Bargagli Stoffi and Eli Ben-Michael

Robin Evans: Parameterizing and Simulating from Causal Models

1:04:03

Robin Evans: Parameterizing and Simulating from Causal Models

Nicola Gnecco: Causal Discovery in Heavy-Tailed Models

28:18

Nicola Gnecco: Causal Discovery in Heavy-Tailed Models

Chengchun Shi: A reinforcement learning framework for dynamic causal effects in A/B testing

1:00:17

Chengchun Shi: A reinforcement learning framework for dynamic causal effects in A/B testing

Iván Díaz: Recanting twins: addressing intermediate confounding in mediation analysis

1:06:28

Iván Díaz: Recanting twins: addressing intermediate confounding in mediation analysis

Ting Ye: Debiased Multivariable Mendelian Randomization

59:52

Ting Ye: Debiased Multivariable Mendelian Randomization