This event has ended. Visit the official site or create your own event on Sched.

user2016

Click here to return to main conference site. For a one page, printable overview of the schedule, see this.

Corey Brier

Cleveland Clinic
Cleveland/Akron, Ohio Area

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:15am PDT

Coffee Break Econ 140

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

12:00pm PDT

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130

2:15pm PDT

Coffee Break SIEPR 130

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

bamdit: An R Package for Bayesian meta-analysis of diagnostic test data Barnes & McDowell & Cranston

10:48am PDT

Compiling parts of R using the NIMBLE system for programming algorithms Barnes & McDowell & Cranston

11:06am PDT

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston

11:24am PDT

Fitting complex Bayesian models with R-INLA and MCMC Barnes & McDowell & Cranston

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Group and sparse group partial least squares approaches applied in a genomics context Barnes & McDowell & Cranston

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

1:54pm PDT

Multiple Hurdle Tobit models in R: The mhurdle package Barnes & McDowell & Cranston

2:12pm PDT

Detection of Differential Item Functioning with difNLR function Barnes & McDowell & Cranston

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

R at Microsoft McCaw Hall

5:03pm PDT

'AF' a new package for estimating the attributable fraction McCaw Hall

5:21pm PDT

The challenge of combining 176 x #otherpeoplesdata to create the Biomass And Allometry Database (BAAD) Econ 140

5:39pm PDT

Rho: High Performance R McCaw Hall

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Predicting individual treatment effects Lane & Lyons & Lodato

10:48am PDT

Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package Lane & Lyons & Lodato

11:06am PDT

An embedded domain-specific language for ODE-based drug-disease modeling and simulation Lane & Lyons & Lodato

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

11:45am PDT

Automated risk calculation in clinical practice and research - the riskscorer package SIEPR 120

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall

1:36pm PDT

Simulation and power analysis of generalized linear mixed models Econ 140

1:54pm PDT

How to do one's taxes with R McCaw Hall

2:12pm PDT

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Coffee Break with Poster Session McCaw Hall

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

10:48am PDT

Authoring Books with R Markdown McCaw Hall

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall

11:24am PDT

DataSHIELD: Taking the analysis to the data McCaw Hall

11:42am PDT

Most Likely Transformations McCaw Hall

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Estimating causal dose response functions using the causaldrf R package McCaw Hall

1:15pm PDT

Getting R into your bathroom McCaw Hall

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall

1:35pm PDT

Interact with Python from within R McCaw Hall

1:40pm PDT

Let's meet on satRday! McCaw Hall

1:45pm PDT

Optimizing Food Inspections with Analytics McCaw Hall

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall