The PCI Lab hosts a causal learning group consisting of students and faculty from diverse disciplines including statistics, epidemiology, political science, sociology, computer science, and more. Meetings are typically held on Fridays from 11:00 am – 12:15 pm PST. If you are interested in joining us, click here to be added to our email distribution list.
Additionally, you can find a listing of past and upcoming events
below.
| Date | Title | Presenters |
|---|---|---|
| November 21 2025 | Causal Inference, Data Integration, Small and Large Data, and Scalable Estimation | Michele Santacatterina |
| November 14 2025 | Measurement Error Corrections Using Control Variates (with Applications to Children's Health) | Kevin Josey |
| November 7 2025 | Causally Selected Covariates for Regression Calibration | Wenze Tang |
| October 31 2025 | Causal Inference in the Context of PAC Contributions & School Shootings | Takuma Iwasaki , Eric Baldwin |
| October 24 2025 | On the Structural Basis of Conditional Ignorability | Drago Plecko |
| October 17 2025 | Reliable and Effective Data Fusion | Sijia Li |
| October 10 2025 | Average Direct and Indirect Causal Effects of Persuasion | Wenlu Xu |
| June 6 2025 | Heterogeneous treatment effects (co-hosted with UCLA IDS Lab) | Duy Pham, Roch Nianogo, Jiahui Xu |
| May 30 2025 | Selection bias and missing data | Maya Mathur |
| May 23 2025 | Innovations in causal inference methods | Chad Hazlett, Borna Bateni |
| May 9 2025 | Mendelian Randomization & time-varying exposures | Joy Shi |
| April 25 2025 | Mendelian Randomization | Sonja Swanson |
| April 18 2025 | Causal estimands for survival analysis | L. Paloma Rojas-Saunero |
| April 11 2025 | Applications of Bayesian nonparametrics in causal inference | Falco J. Bargagli-Stoffi |
| March 7 2025 | What is Causal Reasoning | Judea Pearl |
| February 28 2025 | Post-treatment problems: What can we say about the effect of a treatment among sub-groups who (would) respond in some way? | Tanvi Shinkre, Matthew Coates, Chad Hazlett |
| February 14 2025 | Principal stratification | Kirk Vanacore |
| February 7 2025 | How COVID ruined the test-negative design for estimating influenza vaccine effectiveness | Sheena Sullivan |
| January 31 2025 | Causal inference applications to firearm policy | Jack Kappelman, Haotian Chen, Falco J. Bargagli-Stoffi |
| January 17 2025 | Causal inference applications to PTSD and glioblastoma therapies | Chad Hazlett |
| November 22 2024 | Immortal time bias | Matthew Coates |
| November 15 2024 | Heterogeneous effects of Medicaid coverage on cardiovascular risk factors | Kosuke Inoue |
| November 8 2024 | DAGs and effect heterogeneity | Onyebuchi Arah |
| November 1 2024 | Beyond Prediction: Identifying Latent Treatments in Images | Michelle Torres |
| October 25 2024 | Danish National Birth Cohort (DNBC) | Cecilia H. Ramlau-Hansen |
| October 18 2024 | Front-Door Formula | Onyebuchi Arah |
| May 31 2024 | Gaussian processes for extrapolative inference -- a powerful tool for addressing model-dependency and uncertainty | Chad Hazlett, Doeun Kim, Soonhong Cho |
| May 24 2024 | Causal progress with imperfect placebo treatments and outcomes | Adam Rohde |
| May 10 2024 | Regression-based proximal causal inference | Eric J. Tchetgen Tchetgen |
| May 3 2024 | Safe learning outside of randomized trials: Application of the stability-controlled quasi-experiment to the effects of three COVID-19 therapies (with Wulf, Hill, Chiang, Goodman-Meza, Pasaniuc, Arah, Erlandson & Montague) | Chad Hazlett, Onyebuchi Arah, David Ami Wulf |
| April 16 2024 | Detecting and refuting monotonicity | Scott Mueller |
| February 16 2024 | Analyzing the impact of events through surveys: Formalizing biases and introducing the dual randomized survey design | Andrew Bertoli |
| February 9 2024 | Double robust, flexible adjustment methods for causal inference: An overview and an evaluation | Nathan Hoffmann |
| February 2 2024 | Causal estimands when competing events are present | L. Paloma Rojas-Saunero |
| January 16 2024 | Understanding regression’s “weighting problem” and its simple, longstanding, equivalent fixes | Tanvi Shinkre |