This winter semester from November 2024 to March 2025, we will be hosting a digital R book club! In this interactive book club, we have selected a few chapters from two R books that include hands-on exercises in R:
- Cunningham, S. (2021). Causal inference: The mixtape. Yale university press.
- Barrett, M., D’Agostino McGowan, L., & Gerke, T. (2024). Causal Inference in R.
We will meet every third Wednesday of the month at 4pm Berlin time on Zoom. JClub meetings are typically 90 minutes long. To prepare for JClub, participants are expected to have completed the assigned readings AND run the R codes (see the schedule below) prior to each meeting.
The official registration form for the winter semester is now closed and all the available spots are filled. If you are interested in joining, you can still send us an email and we can put you on the waitlist. If you have any other questions, please contact us at bemcolloquium@charite.de.
Meeting Dates, Session Leaders, and Reading Assignments
NOVEMBER 20, 2024: Counterfactuals & Potential outcomes | Meghan Forrest
Causal inference: The mixtape
Chapter 4: Potential Outcomes Causal Model
Causal Inference in R
Chapter 3: Estimating counterfactuals
Need a refresher on causal inference? We suggest you first read these chapters from Causal Inference in R:
Chapter 1: From casual to causal
Chapter 2: The whole game: mosquito nets and malaria
JANUARY 22, 2025: Causal estimands & Target trials | Chisato Ito
Causal Inference in R
Chapter 4: Target trials and standard methods
Chapter 10: Causal estimands
FEBRUARY 19, 2025: Synthetic control & Regression discontinuity | Chisato Ito & Toivo Glatz
Causal inference: The mixtape
Chapter 6: Regression Discontinuity
Chapter 10: Synthetic Control
MARCH 19, 2025: Propensity scores | Tobias Kurth
Causal Inference in R
Chapter 8: Propensity scores
Chapter 9: Evaluating your propensity score model
Berlin Epidemiological Methods Colloquium (BEMC) 