Starting this fall, from September 2021 to February 2022, we will read and discuss a collection of articles suggested by BEMC participants and selected by the BEMC team to hone in on specific epidemiological method topics that are often overlooked, misunderstood, controversial, or just simply cannot be revisited enough!

We will meet every third Wednesday of the month at 4:00 PM Berlin time via Zoom. Participants from other locations and time zones are welcome to sign up! BEMC JClub meetings are typically 90 minutes long.

If you are interested in participating, please sign up by September 1st, 2021 using the following link: https://forms.gle/8RvUt1ZSKzfUXVXB8. Please note that space is limited, and we may need to put you on a waiting list, depending on interest. Charité Health Data Sciences PhD Program students will be prioritized. If you have any questions, please contact bemcolloquium@charite.de. 

September 15, 2021

Breskin A, Cole SR, Westreich D. Exploring the Subtleties of Inverse Probability Weighting and Marginal Structural Models. Epidemiology. 2018 May;29(3):352–5. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882514/?report=classic

October 20, 2021

Whitcomb BW, Naimi AI. Defining, Quantifying, and Interpreting “Noncollapsibility” in Epidemiologic Studies of Measures of “Effect.” Am J Epidemiol. 2021 May 4;190(5):697–700. https://academic.oup.com/aje/article/190/5/697/6030882

November 17, 2021

Rojas-Saunero LP, Hilal S, Murray EJ, Logan RW, Ikram MA, Swanson SA. Hypothetical blood-pressure-lowering interventions and risk of stroke and dementia. Eur J Epidemiol. 2021 Jan;36(1):69–79. https://link.springer.com/article/10.1007/s10654-020-00694-5

December 15, 2021

Vable AM, Diehl SF, Glymour MM. Code Review as a Simple Trick to Enhance Reproducibility, Accelerate Learning, and Improve the Quality of Your Team’s Research. Am J Epidemiol [Internet]. 2021 Apr 8; Available from: http://dx.doi.org/10.1093/aje/kwab092 

January 19, 2022 

Corraini P, Olsen M, Pedersen L, Dekkers OM, Vandenbroucke JP. Effect modification, interaction and mediation: an overview of theoretical insights for clinical investigators. Clin Epidemiol. 2017 Jun 8;9:331–8. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476432/

February 16, 2022

Krieger N, Davey Smith G. The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology. Int J Epidemiol. 2016 Dec 1;45(6):1787–808. https://academic.oup.com/ije/article/45/6/1787/2617188