2021 Fall Meetings

Fall Semester, 2021

Regular meeting time: Tuesday 12:30-1:30, every 2 weeks

October 19: Organizational meeting

November 2: We will read and discuss two papers (Hernán, 2010; Aalen et al., 2015) at this meeting, with Sandra kicking off the discussion (thanks Sandra!). The papers are at the intersection of survival and causal inference, and they will give us a chance to discuss the definitions of hazard, hazard ratio, and proportional hazards, among other things.

At the beginning of the meeting there will be time for people to share "what you're working on", i.e. what you have been doing with survival analysis since the last meeting, so please keep that in mind as you analyze data over the next two weeks! 

References:

• Sandra's Slides

• Sample size under the additive hazards model (paper shared by Sandra)

• RISCA R package which can calculate adjusted KM curves 

• Hernán et al. (2016) Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses. https://pubmed.ncbi.nlm.nih.gov/27237061/

• Miguel A. Hernán, James M. Robins. (2019). Causal Inference: What If. https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1268/2019/10/ci_hernanrobins_1oct19.pdf

• Jessica G. Young, Mats J. Stensrud, Eric J. Tchetgen Tchetgen, Miguel A. Hernán. (2020). https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.8471

• Xiao, Yongling, Abrahamowicz, Michal and Moodie, Erica E. M.. "Accuracy of Conventional and Marginal Structural Cox Model Estimators: A Simulation Study" The International Journal of Biostatistics, vol. 6, no. 2, 2010. https://doi.org/10.2202/1557-4679.1208 (paper shared by Grace)

• van der Wal, W. M., & Geskus, R. B. (2011). ipw: An R Package for Inverse Probability Weighting. Journal of Statistical Software, 43(13), 1–23. https://doi.org/10.18637/jss.v043.i13 (paper shared by Grace, implements the estimators from the Xiao, Abrahamowicz and Moodie paper)

November 16: We will discuss two papers on recommendations for reporting results of statistical analyses with survival endpoints (Mathoulin-Pelissier et al., 2007 and Althouse et al., 2021). For the second paper, you only need to read the section on survival analyses. Ryan will lead the discussion. 

• Ryan's notes

• Additional resources Ryan mentioned: 

  • Assel M, Sjoberg D, Elders A, Wang X, Huo D, Botchway A, Delfino K, Fan Y, Zhao Z, Koyama T, Hollenbeck B, Qin R, Zahnd W, Zabor EC, Kattan MW, Vickers AJ. Guidelines for reporting of statistics for clinical research in urology. BJU Int. 2019 Mar;123(3):401-410. doi: 10.1111/bju.14640. Epub 2019 Jan 20. PMID: 30537407; PMCID: PMC6397060.

  • Vickers AJ, Assel MJ, Sjoberg DD, Qin R, Zhao Z, Koyama T, Botchway A, Wang X, Huo D, Kattan M, Zabor EC, Harrell F. Guidelines for Reporting of Figures and Tables for Clinical Research in Urology. BJU Int. 2020 Jul;126(1):14-25. doi: 10.1111/bju.15102. Epub 2020 Jun 15. PMID: 32542947.

• Yadav K, Lewis RJ. Immortal Time Bias in Observational Studies. JAMA. 2021;325(7):686–687. doi:10.1001/jama.2020.9151. (Paper shared by Xianghua)

November 29 and 30: ASA Lifetime Data Science Section short course on "Causal Time-to-Event Analysis." Short course goes from 11:30AM-1PM both days and we will watch together in the 4th floor conference room. 

December 14: We will discuss a paper on variable selection for Cox models by two of the short course instructors (Van Lancker, Dukes and Vansteedlandt, 2021).