kbroman / jsm2016slides

Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago

Links to slides from JSM 2016

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.

Sunday, 31 July

2:00pm - 3:50pm

6 Open Source Statistical Software for Data Science

• 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

7 Statistical Learning of Health Care Systems

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

26 Distinguishing Between Statistics Education for Undergraduate and Graduate Nonstatistics Major Students

• Matt Hayat, Literature

• MyoungJin Kim, Technology

• Todd Schwartz, Datasets

• Mike Jiroutek, Pedagogy

33 Efficient Methods for Structured Large Genomics Data

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

4:00pm - 5:50pm

47 Making the Most of R Tools

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

51 Media and Statistics

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

54 Recent Advances in Information Visualization

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

69 Novel Methods in Causal and Mediation Analysis

• Julian Wolfson, @DrJWolfson, Treatment Effect Heterogeneity Trees

74 Estimation and Learning in Graphical Models

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

78 For the Love of the Game: Applications of Statistics in Sports

• 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

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Monday, 1 August

8:30am - 10:20am

7 Applied Data Visualization in Industry and Journalism

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

135 Advanced Methods for Statistics in Sports

• 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

10:30am - 12:20pm

142 The Extraordinary Impacts of Statistics in Genomics and Genetics

• 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]

170 SPEED: Statistics for Education and Social Sciences Research

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

2:00pm - 3:50pm

228 The Extraordinary Power of Statistical Collaboration

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

247 Toward Better Communication of Information with Statistical Graphics

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

257 Motivating and Teaching Advanced Biostatistical Topics

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

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Tuesday, 2 August

8:30am - 10:20am

288 Economic and Business Applications in High-Dimensional Big Data Contexts

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

10:30am - 12:20pm

326 Controversies: Past, Present, and Future -- Statistical Issues in Reproducibility

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

332 Doing More with Data in and Outside the Undergraduate Classroom

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

352 SPEED: Advances in Biometrics

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

2:00pm - 3:50pm

407 Interactive Visualizations and Web Applications for Analytics

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

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

418 Biometrics Section Student Paper Award Session 2

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

451 SPEED: Advances in Biometrics, Part 2B

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

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Wednesday, 3 August

8:30am - 10:20am

465 Data Science for Health Policy: A Broad Tent

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

475 Reproducibility in Statistics and Data Science

• 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)

486 Estimating the Properties of Physical Time Series by Leveraging the Power of Spectral Analysis

• 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

492 SPEED: Advances in Survey Research Methodology

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

499 Statistical Learning Approaches to Biological Inference Problems

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

10:30am - 12:20pm

520 Machine Learning in Econometrics

• Qingyuan Zhao Causal Interpretations of Black-Box Models

526 The 2016 Statistical Computing and Graphics Award Honors William S. Cleveland

• 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

2:00pm - 3:50pm

593 Batch Effects in Genomics Data

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

600 When the Plot Is Not the End: Advances in Computing and Reasoning on Data Visualizations

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

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Thursday, 4 August

8:30am - 10:20am

632 Julia for Modern Statistical Computing

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

652 Big Data and Data Science Education

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

jsm2016slides's Issues

my SPEED session slides

Friendly reminder. You'll forget the tweet, but the posted issue will bug you ;)

https://github.com/skolenik/jsm2016slides