Links to slides to talks at the 2016 Joint Statistical Meetings in Chicago, Illinois.

Pull requests welcome! Or add an issue or email Karl Broman.

• Skipper Seabold, @jseabold, Having an impact as a modern statistician: Lessons from Software Engineering

• Jake VanderPlas, @jakevdp, Python's Data Science Stack

• Dirk Eddelbuettel, @eddelbuettel, If You Can't Beat 'Em...

• Mike Kane, @kaneplusplus, Grammars and Structures for Computing with Data

• Becky McNeil, @biostatbecky, Two case studies of statistical approaches that simplify the VHA learning health care system

• Matt Hayat, Literature

• MyoungJin Kim, Technology

• Todd Schwartz, Datasets

• Mike Jiroutek, Pedagogy

• Xiang Zhu, @zhumaimai, Bayesian large-scale multiple regression with summary statistics from genome-wide association studies

• Nicholas Horton, @askdrstats, Thinking with Data using R and RStudio: powerful idioms for analysts

• Julie Rehmeyer, @julierehmeyer, Bad statistics, bad reporting, bad impact on patients: The story of the PACE trial

• Zan Armstrong, @zanstrong, Visualizing Statistics "Mix Effects" and Simpson's Paradox

• Julian Wolfson, @DrJWolfson, Treatment Effect Heterogeneity Trees

• Andee Kaplan, @andeekaplan, An exposition on the propriety of restricted Boltzmann machines

• Brandon LeBeau, @blebeau11, Estimating NCAA Football Coaches’ Abilities An Application of Item Response Theory

• Gregory Matthews, @StatsInTheWild, An Examination of Statistical Disclosure Issues Related to Publication of Aggregate Statistics in the Presence of a Known Subset of the Data Set Using Baseball Hall of Fame Ballots

• Jeff Leek, @jtleek, Data Science as a Science

• Scott Powers, @saberpowers, Nuclear Penalized Multinomial Regression for Predicting At-Bat Outcomes in Baseball

• Sameer Deshpande, A Bayesian Hierarchical Model of Pitch Framing in Major League Baseball

• John Storey, @storeylab, Latent Variable Methods for the Analysis of Genomic Data

• Rafael Irizarry, @rafalab, Overcoming bias and batch effects in RNA-seq data [related paper on bioRxiv]

• Amelia McNamara, @AmeliaMN, Pushing the Boundary Between Tools for Learning and for Doing Statistics

• Eric Vance, @ervance, The Extraordinary Potential of Statistical Collaboration Laboratories

• Susan VanderPlas, @srvanderplas, Clusters Beat Trend!? Testing Feature Hierarchy in Statistical Graphics

• Pierre-Jérôme Bergeron, Valar Morghulis: A Survival Analysis of a Song of Ice and Fire

• Christian Hansen, Double Machine Learning for Treatment and Causal Parameters[arxiv]

• Fernando Martel Garcia, Replication and the Manufacture of Scientific Inferences: A Formal Approach

• Colin Rundel, @rundel, Statistical computing as an introduction to data science

• Jean V. Adams, @JeanVAdams, Fish Cliques: Evidence of Social Groups from Sparse Observations in Time and Space?

• Carson Sievert, @cpsievert, Interactive and Dynamic Web-Based Graphics for Data Analysis

• Yihui Xie, @xieyihui, HTML Widgets: Interactive Visualizations from R Made Easy!

• Keegan Korthauer, @keegsdur, scDD: A Statistical Approach for Identifying Differential Distributions in Single-Cell RNA-Seq Experiments

• Jean V. Adams, @JeanVAdams, Fish Cliques: Evidence of Social Groups from Sparse Observations in Time and Space?

• Jenna Krall, @kralljr, Identifying the Most Harmful Sources of Ambient Air Pollution to Better Protect Public Health

• Jenny Bryan, @jennybryan, Reproducibility for All and Our Love/Hate Relationship with Spreadsheets

• Karl Broman, Steps Toward Reproducible Research

• Karthik Ram, @_inundata, Enough with trickle down reproducibility: scientists, open this gate! scientists, tear down this wall!

• Mine Çetinkaya-Rundel, @minebocek, Integrating reproducibility into the undergraduate statistics curriculum

• Yihui Xie, @xieyihui, Reproducibility in Statistics and Data Science (Discussion)

• Wesley S. Burr, @wsburr, Phase as Lag: Synthetic Lag Models for Risk Estimation in Environmental Epidemiology

• Josh Pohlkamp-Hartt, Extraction of Atrial Signals From Electrocardiograms

• Stanislav Kolenikov, @StatStas, Sampling with Minimal Strata Sample Size Requirements

• Neal Grantham, @nsgrantham, Deep Spatial Learning for Forensic Geolocation with Microbiome Data

• Qingyuan Zhao Causal Interpretations of Black-Box Models

• Dianne Cook, @visnut, Modern Crowd-Sourcing Validates Cleveland's 1984 Hierarchy of Graphical Elements [survey | results]

• Luke Tierney, Some reflections on dynamic graphics for data exploration

  • Video Library, ASA Sections on Statistical Computing and Statistical Graphics

• David Risso, @drisso1893, Design and normalization of single-cell RNA-seq

• Barret Schloerke, @schloerke, Cognostics: Metrics Enabling Detailed Interactive Visualization of Big Data

• Josh Day, OnlineStats.jl for Streaming and Big Data

• Robin Lock, DataSurfing on the World Wide Web: Part 2 (Part 1, from JSM 1996)