Causal Inference Reading Group


2019-10-22 13:30: High dimensional data and latent confounding I (Dr Qingyuan Zhao (Statistical Laboratory))

2019-10-29 13:30: High dimensional data and latent confounding II (Rajen Shah (University of Cambridge))

2019-11-05 13:30: The Blessing of Multiple Causes (Dr Qingyuan Zhao (Statistical Laboratory))

2019-11-12 13:30: Tackling invalid instrumental variables (Sven Wang (University of Cambridge))

2019-11-19 13:30: Higher-order influence function (Dr Yuhao Wang)

2019-11-26 13:30: Anchor regression (Dr Qingyuan Zhao (Statistical Laboratory))

2019-12-03 13:30: Regression discontinuity design (Florian Pein)

2020-01-21 13:30: Negative controls in causal inference (Yuhao Wang)

2020-01-28 13:30: Dynamic treatment regimes I (Qingyuan Zhao (Statistical Laboratory))

2020-02-04 14:00: Graphical models for extremes (Harvey Klyne)

2020-02-11 14:00: Dynamic treatment regimes II (Qingyuan Zhao (Statistical Laboratory))

2020-02-18 13:30: Stable prediction (Harvey Klyne)

2020-03-03 13:30: Dynamic Treatment Regimes III (Qingyuan Zhao (Statistical Laboratory))

2020-03-10 13:30: Causal Inference in Genetic Trio Studies (yao zhang (University of Cambridge))

2020-05-21 13:30: Identification In Missing Data Models Represented By Directed Acyclic Graphs  (Qingyuan Zhao (Statistical Laboratory))

2020-06-04 13:30: Partial identification in instrumental variables (Yuhao Wang)

2020-06-18 13:30: Bias and high-dimensional adjustment in observational studies of peer effects (Florian Pein)

2020-07-02 13:30: A Formal Causal Interpretation of the Case-Crossover Design (yao zhang (University of Cambridge))

2020-07-30 13:30: Minimax Crossover Designs  (Yao Zhang (University of Cambridge))

2020-08-13 13:30: Synthetic Difference in Differences (Yuhao Wang)

2020-10-22 13:30: A Negative Correlation Strategy for Bracketing in Difference-in-Differences (Ting Ye (University of Pennsylvania))

2020-12-03 13:30: Structural Nested Models and G-estimation: The Partially Realized Promise (Katarzyna Reluga (University of Cambridge))

2021-02-11 13:30: Fair Data Adaptation with Quantile Preservation (Harvey Klyne (Stats Lab))

2021-03-11 16:00: Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing (Kevin Guo, Stanford University)

2021-03-25 13:30: Causal Inference for Nonlinear Outcome Models with Possibly Invalid Instrumental Variables (Sai Li (University of Pennsylvania))

2022-06-06 13:30: Unbiased Set-Estimation of Heterogeneous Causal Effects (Ganesh Karapakula (University of Cambridge))

2022-06-24 13:30: Counterfactual inference in sequential experimental design (Raaz Dwivedi (Harvard and MIT))

2022-07-04 13:30: Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data (Siyuan Guo (University of Cambridge))

2023-04-28 15:30: Model-X and doubly robust conditional independence testing (Eugene Katsevich (University of Pennsylvania))

2023-05-05 15:30: Stable Weighting and Estimation of conditional treatment effects (Ganesh Karapakula (University of Cambridge - Economics))

2023-05-12 15:30: Journal Club: Separable Effects for Competing Events (Qingyuan Zhao (Statistical Laboratory))

2023-05-19 15:30: Selective randomization inference for enrichment trials (Zijun Gao, Tobias Freidling (University of Cambridge - Statistical Laboratory))

2023-05-26 15:30: A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing (Kevin Han Huang (Gatsby Unit, UCL))

2023-06-02 15:30: Journal Club - Bridging Matching, Regression, and Weighting as Math Programs for Causal Inference (Tobias Freidling (Statistical Laboratory))

2023-06-09 15:30: A powerful methodology for analyzing correlated high dimensional data with factor models (Hongyuan Cao (Florida State University))

2023-06-16 15:30: Journal Club - Interventional Causal Representation Learning (Max Zhu (Statistical Laboratory, Department of Computer Science))

2023-07-21 15:30: [Journal Club] Granger Causality: A Review and Recent Advances (Qingyuan Zhao (Statistical Laboratory))

2023-10-13 15:30: Assumption-lean Inference for Generalised Linear Model Parameters (Stijn Vansteelandt (Ghent University))

2023-10-27 15:30: Confounder selection via iterative graph expansion (Richard Guo (University of Cambridge))

2023-11-17 15:30: Comparative Frameworks for Relative Multivariate Analysis (Ganesh Karapakula (Economics Faculty - University of Cambridge))

2024-01-26 15:30: Optimization-based Sensitivity Analysis for Unmeasured Confounding using Partial Correlations (Tobias Freidling (Statistical Laboratory))

2024-02-27 13:00: Genetics-based drug discovery: Some stories from the frontline (Matt Tudball (5 Prime Sciences))

2024-04-26 15:30: Leveraging multi-study, multi-outcome data to improve external validity and efficiency of clinical trials for managing schizophrenia (Caleb Miles (Columbia University))

2024-06-28 15:30: Local causal discovery for downstream effect estimation (Jacqueline Maasch (Cornell Tech))

2024-09-20 09:00: Kernel Ridge Regression Inference with Applications to Preference Data (Rahul Singh (Harvard University))

2024-10-18 15:30: A matrix algebra for graphical statistical models (Qingyuan Zhao (Statistical Laboratory))

2024-10-25 15:30: Rethinking Weak Instruments with a focus on the Multiple Risk Factors Setting  (James Lane (University of Cambridge))

2024-11-01 15:30: On statistical models associated with acyclic directed mixed graphs (Qingyuan Zhao (Statistical Laboratory))

2024-11-08 15:30: Developing Causal Network Models to Untangle the Mechanisms Behind Past Large-Scale Climate Reorganizations (Peisong Zheng (University of Cambridge))

2024-11-15 15:30: Natural Experiments in NLP and Where to Find Them (Pietro Lesci, University of Cambridge )

2024-12-13 17:30: An Anatomy of Event Studies: Hypothetical Experiments, Exact Decomposition, and Weighting Diagnostics (José R. Zubizarreta, Harvard University )

2025-01-28 13:00: Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates (Yuhao Wang (Tsinghua University))

2025-02-14 15:30: Discussion on Confidence Intervals for Policy Evaluation in Adaptive Experiments (Qingyuan Zhao (Statistical Laboratory))

2025-03-07 15:30: Discussion on Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments (Martina Scauda (University of Cambridge))

2025-03-13 14:30: Estimating the Global Average Treatment Effect under Structured Interference (Shuangning Li (University of Chicago, Booth School of Business))

2025-03-21 15:30: A Graphical Approach to State Variable Selection in Off-policy Learning (Joakim Blach Andersen (Statistical Laboratory))