2022

• January 19th
  • 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 16th
  • 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

2021

• January – July
  • Pearl J, Mackenzie D. The Book of Why: The New Science of Cause and Effect. New York: Basic Books; 2018.
  • January 27th: Chapters 1 & 2
  • February 17th: Chapters 3 & 4
  • March 17th: Chapter 5
  • April 21st: Chapter 6
  • May 19th: Chapter 7
  • June 16th: Chapter 8
  • July 28th: Chapters 9 & 10
• August – Summer Break
• September 15th
  • Cole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. Am J Epidemiol. 2008 Sep 15;168(6):656–64. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732954/
• October 20th
  • 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 17th
  • 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 15th
  • 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

2020

• January 15th 
  • Effect heterogeneity and variable selection for standardizing causal effects to a target population
  • Link: https://link.springer.com/article/10.1007/s10654-019-00571-w 
• February 19th
  • A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
  • Link: https://www.jclinepi.com/article/S0895-4356(18)31081-3/abstract 
• March 18th 
  • Use of E-values for addressing confounding in observational studies-an empirical assessment of the literature
  • Link: https://www.ncbi.nlm.nih.gov/pubmed/31930286 
• April
  • TBA
• May 20th 
  • Collider bias undermines our understanding of COVID-19 disease risk and severity
  • Link: click here
• June 17th 
  • Opening the Black Box: A Motivation for the Assessment of Mediation
  • Link here
• July 15th  
  • State-of-the-art in selection of variables and functional forms in multivariable analysis — outstanding issues
  • Link here
• September 16th
  • Decision Curve Analysis: A Novel Method for Evaluating Prediction Models
  • Article link: here 
• October 21st
  • Spatial analysis of lung, colorectal, and breast cancer on Cape Cod: An application of generalized additive models to case-control data
  • Article link: here
• November 18th 
  • Lord’s Paradox Revisited 
  • Article link: here
• December 16th 
  • A History of the Population Attributable Fraction and Related Measures
  • Article link: here

2019

• January – Winter Break
• February 20th
  • Andersen LW, Granfeldt A, Callaway CW. Association between tracheal intubation during adult in-hospital cardiac arrest and survival. JAMA. 2017 Feb;317(5):494-506. https://jamanetwork.com/journals/jama/fullarticle/2598717
• March 20th
  • Quintana DS, Williams DR. Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP. BMC Psychiatry. 2018 June;18:178. https://doi.org/10.1186/s12888-018-1761-4 
• April 17th
  • Småbrekke B, Rinde LB, Hindberg K, Hald EM, Vik A, et al. Atherosclerotic Risk Factors and Risk of Myocardial Infarction and Venous Thromboembolism; Time-Fixed versus Time-Varying Analyses. The Tromsø Study. PLOS ONE. 2016 September. 11(9): e0163242. https://doi.org/10.1371/journal.pone.0163242
• May 15th
  • Naimi AI, Cole SR, Kennedy EH. An introduction to g methods. International Journal of Epidemiology. 2017 April; 46(2):756–762. https://doi.org/10.1093/ije/dyw323
• June 19th
  • Tipton E, Pustejovsky JE, Ahmadi H. A history of meta-regression: Technical, conceptual, and practical developments between 1974 and 2018. Res Synth Methods [Internet]. 2018 Dec 27. https://www.ncbi.nlm.nih.gov/pubmed/30589224
• July – Summer Break
• August – Summer Break
• September 18th
  • Mansournia MA, Etminan M, Danaei G, Kaufman JS, Collins G. Handling time varying confounding in observational research. BMJ. 2017 Oct 16;359:j4587. https://www.bmj.com/content/359/bmj.j4587
  • Note: time permitting, we will also finish the related discussion on the paper from May… so bring that one along, too!
  • Location – Konferenzraum, Bonhoefferweg 3
• October 16th
  • “Five myths about measurement error in epidemiologic research” – M van Smeden, TL Lash, RHH Groenwold (preprint)
  • https://osf.io/ahf45/
  • Location: as usual- Neuroseminar room (Alte Nervenklinik, CCM)
• November 20th
  • “Reporting of treatment effects from randomized trials: a plea for multivariable risk ratios.”
  • https://www.ncbi.nlm.nih.gov/pubmed/21195797
  • Location: *note- will be held in Neurology Konferenz Raum
• December 18th
  • “Accounting for missing data in statistical analyses: multiple imputation is not always the answer.”
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693809/
  • Location: Seminarraum at Bonhoefferweg 3

2018

• February 21st
  • Chang VW, Langa KM, Weir D, Iwashyna TJ. The obesity paradox and incident cardiovascular disease: A population-based study. PLoS One 2017; 12: e0188636. link to pdf
• March 21st
  • Nienke A. de Glas, Mandy Kiderlen, Jan P. Vandenbroucke, Anton J. M. de Craen, Johanneke E. A. Portielje, Cornelis J. H. van de Velde, Gerrit-Jan Liefers, Esther Bastiaannet, Saskia Le Cessie; Performing Survival Analyses in the Presence of Competing Risks: A Clinical Example in Older Breast Cancer Patients, JNCI: Journal of the National Cancer Institute, Volume 108, Issue 5, 1 May 2016, djv366, https://doi.org/10.1093/jnci/djv366
• April 11th
  • Fewell Z, Davey Smith G, Sterne JAC. The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study. Am J Epidemiol. 2007 Sep 15;166(6):646-55.  https://academic.oup.com/aje/article/166/6/646/89040
• May – No Meeting
• June 20th
  • Samama C-M, Rosencher N, Kleine E, Feuring M, Brueckmann M, Clemens A, et al. Observational study of dabigatran etexilate 150mg in patients with moderate renal impairment undergoing elective total hip or knee replacement. Thromb Res. 2016 Jul;143:103–10.
  • https://www.ncbi.nlm.nih.gov/pubmed/?term=Samama+et+al.+Thromb+Res+2016
• July 18th
  • Hernán MA, Robins JM. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol. 2016 Apr 15;183(8):758–64.
  • https://www.ncbi.nlm.nih.gov/pubmed/26994063
• August – Summer Break
• September 19th
  • Rothman KJ, Greenland S. Planning Study Size Based on Precision Rather Than Power. Epidemiology. 2018 Sep;29(5):559–603.
  • https://insights.ovid.com/pubmed?pmid=29912015
• October 17th- no JClub. Join us at the IPH Lecture with Maria Glymour, ScD, MS, Professor at UCSF School of Medicine, as she presents “Are we ready for a biomarker-only based diagnostic criterion for research in Alzheimer’s Disease?”
• November 21st
  • Rombach I, Gray AM, Jenkinson C, Murray DW, Rivero-Arias O. Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level. BMC Medical Research Methodology. 2018 Aug;18:107.
  • https://doi.org/10.1186/s12874-018-0542-6
• December – No Meeting