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CIRG Journal Club

The CIRG Journal Club meets on the third Friday of each month. Typically one or two students, researchers, and faculty lead a group discussion of a paper, sometimes presenting their own work. Please contact Mark Klose (mklose@unc.edu) or Taylor Krajewski (tjk@email.unc.edu) with questions, or to sign up to lead a discussion.

Upcoming Journal Club Meetings

Date Leader(s)Paper(s) or Topic(s)Time and Location

Past Journal Club Meetings

DateLeader(s)Paper(s) or Topic(s)
Friday, March 31, 2023Mark KloseEmulating target trials to avoid immortal time bias– an application to antibiotic initiation and preterm delivery Link
Friday, March 25, 2022Taylor Krajewski, Emily ShivesConformal Inference of Counterfactuals and Individual Treatment Effects Link
Friday, February 26, 2021Rachael Ross, Catherine LiDouble Robustness Link
Friday, January 29, 2021Taylor KrajewskiEffectiveness of Localized Lockdowns in the SARS-CoV-2 Pandemic Link
Friday, October 30, 2020Sam RosinOn semiparametric inference Link
Friday, September 25, 2020Paul ZivichPower and Sample Size for Marginal Structural Models Link
Friday, January 31, 2020Michael HudgensAverage treatment effects in the presence of
unknown interference Link
Friday, November 15, 2019Jess EdwardsCounterfactuals and Two Kinds of Expected Utility
Link
Friday, October 25, 2019Haidong LuSurvival-related Selection Bias in Studies of Racial Health Disparities: The Importance of the Target Population and Study Design Link

On the causal interpretation of race in regressions adjusting for confounding and mediating variables
Link
Friday, September 20, 2019Paul ZivichSemiparametric theory and empirical processes in causal inference arXiv Link
Friday, March 22, 2019Paul Zivich"Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation" by Whitney Newey and James Robins. ArXiv Link
Friday, February 15, 2019Daniel WestreichElias Bareinboim and Judea Pearl. "A general algorithm for deciding transportability of experimental results." Journal of Causal Inference 1.1 (2013): 107-134. Link
Friday, January 25, 2019Stephen Cole"Risk and Tradeoffs" by Lara Buchak. Erkenn (2014) 79(Suppl 6): 1091. https://doi.org/10.1007/s10670-013-9542-4. Link
Friday, November 30, 2018Bryan Blette"Randomization for the direct effect of an infectious disease intervention in a clustered study population" by Daniel J. Eck, Olga Morozova, and Forrest W. Crawford. arXiv:1808.05593. arXiv Link
Friday, November 9, 2018Alex BreskinDaniel, Rhian M. "Double Robustness." Wiley StatsRef: Statistics Reference Online: 1-14. doi:10.1002/9781118445112.stat08068. (Link)
Friday, September 28, 2018Michael HudgensBowers, J., Fredrickson, M.M. and Panagopoulos, C., 2013. Reasoning about interference between units: A general framework. Political Analysis, 21(1), pp. 97-124. (Link)

Loh, W.W., Hudgens, M.G., Clemens, J.D., Ali, M. and Emch, M.E., 2018. Randomization inference with general interference and censoring. arXiv preprint arXiv:1803.02302. (Link)
Tuesday, August 7, 2018Ben Langworthy and Sam RosinAngrist, J.D., Imbens, G.W., and Rubin, D.B., 1996. Identification of Causal Effects Using Instrumental Variables. Journal of the American Statistical Association, 91(434), pp. 444-455. (JSTOR Link)
Tuesday, July 10, 2018Shaina Mitchell and Sam RosinContinuation of Monday, June 25, 2018 meeting.
Monday, June 25, 2018Shaina Mitchell and Sam RosinKosuke Imai, Luke Keele, and Dustin Tingley (2010). A General Approach to Causal Mediation Analysis. Psychological Methods, Vol. 15, No. 4, 309 –334. (Link)

Kosuke Imai, Luke Keele, and Teppei Yamamoto (2010). Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects. Statistical Science, Vol. 25, No. 1, 51–71. (Link)