Biostatistics Journal Club
The Biostatistics Journal Club every other Wednesday of every month (unless otherwise specified). The club was created for the benefit of Biostatistics graduate students and staff, but is open to all students, staff and faculty of Vanderbilt University. Each session will comprise the discussion of a publication of statistical interest that is distributed 3 days or more prior to the meeting. We read current and classic papers, both methodological and applied in focus. If you have a paper to suggest to the group, please
email us.
Time & Location
Every other Wednesday of every month at 12:00 pm in the Biostatistics Conference Room (11105, 2525 West End Avenue).
Email Notification
We send out email notifications the week before we meet to distribute the paper, as well as a reminder the week of the discussion. If you would like to be added to the list,
please let us know.
Fall 2016 Schedule
September 7, 2016
Discussion Leader: Allison Hainline
September 21, 2016
Discussion Leader: Sarah Fletcher Mercaldo
October 5, 2016
Discussion Leader: Sandya Lakkur
October 19, 2016
Discussion Leader: Nate Mercaldo
November 2, 2016
Discussion Leader: Mark Giganti
November 16, 2016
Discussion Leader: Jacquelyn Neal
15 June, 2016
Dougal Maclaurin, Ryan P. Adams 2014
Firefly Monte Carlo: Exact MCMC with Subsets of Data
8 January, 2016
Lo et al. 2015
Why significant variables aren’t automatically good predictors
Discussion leader: Jacob
VanHouten
12 February, 2016
Gelman, Hwang and Vehtari 2014
Understanding predictive information criteria for Bayesian models
Discussion leader: Chris Fonnesbeck
11 March, 2016
Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum, 2014
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data
Discussion leader: Chris Fonnesbeck
11 September, 2015
LeCun et al. 2015
Deep Learning
Discussion leader: Chris Fonnesbeck
9 October, 2015
Jager and Leek 2015
Empirical estimates suggest most published medical research is true
Discussion leader: Jeffrey Blume
13 November, 2015
Lloyd et al. 2015
Automatic Construction and Natural-Language Description of Nonparametric Regression Models
Discussion leader: Chris Fonnesbeck
23 January, 2015
Morey et al.
The Fallacy of Placing Confidence in Confidence Intervals
Discussion leader: Chris Fonnesbeck
27 February, 2015
Greenland (2008)
Variable Selection versus Shrinkage in the Control of Multiple Confounders American Journal of Epidemiology. Vol. 167, No. 5 DOI: 10.1093/aje/kwm355
Discussion leader: Chris Fonnesbeck
27 March, 2015
Bradley Efron (2014) Estimation and Accuracy After Model Selection, Journal of the American Statistical Association, 109:507, 991-1007, DOI:
10.1080/01621459.2013.823775
Discussion leader: Jeffrey Blume
24 April, 2015
Chu W, Ghahramani Z.
Gaussian processes for ordinal regression. Journal of Machine Learning Research. 2006;6(1):1019.
Discussion leader: Chris Fonnesbeck
26 June, 2015
Gruber S, van der Laan MJ.
Targeted Maximum Likelihood Estimation: A Gentle Introduction. U.C. Berkeley Division of Biostatistics Working Paper Series, 2009.
Discussion leader: Bryan Shepherd
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ChrisFonnesbeck - 03 Jan 2015