Key Dates

January 27, 2014
Deadline for special requests for abstract submission/registration for U.S. government agencies 
July 2  July 17, 2014
Late Registration (increased fees apply)
Program > AddOns
JSM sessions which require ticket purchase have limited availability and therefore are subject to sellout or cancellation. Below are the functions which still have availability. Although this list is updated in realtime, please bear in mind that tickets are sold online around the clock; if you plan to purchase a function ticket onsite and see the function on this list before you travel to JSM, we cannot guarantee it will still be available for purchase when you arrive at JSM. To find out how many tickets remain for a particular function, please contact the ASA at (703) 6841221.
Available AddOns
 Continuing Education and Computer Technology Workshops
 Monday Roundtables and Speaker Luncheons
 Tuesday Roundtables and Speaker Luncheons
 Wednesday Roundtables and Speaker Luncheons
Continuing Education and Computer Technology Workshops
CE_02C (HALFDAY COURSE) Adaptive Tests of Significance Using R and SAS
Instructor(s): Tom O'Gorman
We will describe the twosample adaptive test, present an adaptive method of testing any subset of coefficients in a multiple regression model and show how to perform the adaptive tests using R and SAS, discuss adaptive tests for interaction and main effects in the analysis of factorial experiments and adaptive tests for multicenter trial data, and describe a method of computing adaptive confidence intervals. Attendees should be at the level of Applied Regression Analysis (1998) by Draper and Smith.
CE_12C (HALFDAY COURSE) A Statistician's Guide to Analyzing Unstructured Textual Data
Instructor(s): Goutam Chakraborty
This short course takes a quick look at how to collect, organize, and analyze textual data for extracting deeper insights into any research problem. The course will illustrate how such insights can be used to help businesses build better relationships with their customers. SAS products will be used as tools for demonstration; however, the topics and theories covered will be generic.
CE_14C Design and Analysis of Noninferiority Trials
Cosponsor: Biopharmaceutical Section
Instructor(s): Brian Wiens
*JSM 2012 ExcellenceinCE Award Winner
We will review the basics of noninferiority clinical trials and discuss advanced aspects. Participants should to have some experience with clinical trials aimed at regulatory approval for drugs, biologics, or medical devices.
CE_15C Nonparametric Bayesian Data Analysis
Cosponsor: Section on Bayesian Statistical Science
Instructor(s): Peter Mueller and Fernando Quintana
We will discuss the use of nonparametric Bayesian inference for a number of common statistical inference problems, including density estimation, regression, mixed effects models, classification, and clustering. Attendees should have working knowledge of Bayesian data anlysis and basic knowledge of Markov chain Monte Carlo posterior simulation.
CE_16C Missing Data Methods for Regression Modeling
Cosponsor: Biometrics Section
Instructor(s): Joseph Ibrahim
This short course will focus on regression models and research problems encountered in actual practice and demonstrate a variety of statistical packages dealing with missing data, including SAS, logXact, and WinBUGS.
CE_17C The Design and Analysis of Experiments That Use Computer Simulators
Cosponsor: Section on Physical and Engineering Sciences
Instructor(s): Thomas Santner and Brian J. Williams
This course will provide attendees with a set a tools for designing and analyzing studies that use computer simulators as experimental vehicles. It is based on the second edition of The Design and Analysis of Computer Experiments by Santner, Williams, and Notz.
CE_18C (HALFDAY COURSE) MetaAnalysis: Combining the Results of Multiple Studies
Cosponsor: Health Policy Statistics Section
Instructor(s): Christopher Schmid and Ingram Olkin
In this workshop, we introduce the major principles and techniques of statistical analysis of metaanalytic data. Examples of published metaanalyses in medicine and the social sciences will be used to illustrate the various methods.
CE_19C (HALFDAY COURSE) Regression Modeling with Many Correlated Predictors: Big Data in Practice
Instructor(s): Jay Magidson and Tony Babinec
In this course, we review problems and limitations with traditional linear and logistic regression, introduce and compare the two primary regularization approaches for analyzing such data, discuss related software, and introduce recent advances in feature selection.
CE_20C (HALFDAY COURSE) Cure Models and their Applications
Cosponsor: Biometrics Section
Instructor(s): Jeremy Taylor and Yingwei Peng
This course will cover different types of cure models, their estimation methods, identifiability issues, software, and extensions to clustered data. The instructors will introduce reallife data sets from clinical studies and demonstrate the use of the cure models on the data with software.
CE_21C Modern Design of Factorial Experiments
Cosponsor: Section on Physical and Engineering Sciences
Instructor(s): Peter Goos and Bradley Jones
This course motivates the standard and routine use of a fully flexible approach to design of experimentsnamed optimal design of experimentsby showing its industrial application in 10 case studies covering a wide range of practical situations.
CE_22C Genomic Clinical Trials and Predictive Medicine
Cosponsor: Biopharmaceutical Section
Instructor(s): Richard Simon
This course will provide uptodate information about the use of genomics in the design and analysis of therapeutic clinical trials with a focus on novel approaches that provide a reliable basis for "personalizing" treatment decisions.
CE_23C Bayesian Inference
Cosponsor: Section on Bayesian Statistical Science
Instructor(s): Bruno Sanso
This course reviews the bases of Bayesian inference, focusing on key general concepts rather than the technical detail of specific methods. Participants should have a good knowledge of statistics. Calculus and basic probability theory are considered a prerequisite.
CE_24C Causal Mediation Analysis
Cosponsor: Section on Statistics in Epidemiology
Instructor(s): Tyler VanderWeele
This course will cover recent developments in causal mediation analysis and provide practical tools to implement these techniques. Familiarity with linear and logistic regression are required to fully benefit from the course.
CE_25C (HALFDAY COURSE) IntervalCensored TimetoEvent Data: Methods and Applications
Instructor(s): Tony Sun and Din Chen
This course provides a thorough presentation of statistical analyses of intervalcensored failure time data with detailed illustrations using real data. It is partially based on Statistical Analysis of IntervalCensored Failure Time Data and IntervalCensored TimetoEvent Data: Methods and Applications.
CE_26C (HALFDAY COURSE) Techniques for Simulating Data in SAS
Cosponsor: Section for Statistical Programmers and Analysts
Instructor(s): Rick Wicklin
*JSM 2013 ExcellenceinCE Award Winner
This workshop presents intermediatelevel algorithms and techniques for simulating data from mixture distributions, multivariate distributions with a given correlation, distributions with arbitrary marginal distributions and correlation structure, distributions of correlation matrices, regression models with fixed and random effects, basic spatial models, and distributions with central moments that match the sample moments of real data.
CE_27T Introduction to Data Mining with CART Classification and Regression Trees
Instructor(s): Mikhail Golovnya
This workshop is intended for the applied statistician wanting to understand and apply the CART classification and regression trees methodology for treestructured nonparametric data analysis. The emphasis will be on practical data analysis and data mining involving classification and regression. All attendees will receive six months' access to fully functional versions of the SPM Salford Predictive Modeler software suite.
CE_28T Creating Statistical and Clinical Graphics in SAS®
Instructor(s): Warren Kuhfeld
This workshop is intended for statistical users and covers the use of ODS Graphics from start to finish. No prior experience with ODS Graphics is assumed.
CE_29T Structural Equation Modeling Using Stata
Instructor(s): Kristin MacDonald
This workshop covers the use of Stata to perform structural equation modeling (SEM) and provides an overview of fitting linear structural equation models and evaluating model fit. No prior knowledge of Stata is required, but familiarity with SEM will prove useful.
CE_30T Modern Dose Escalation Designs for Oncology in East®
Instructor(s): Pantelis Vlachos and Charles Liu
East offers new capabilities to design, simulate, and execute Phase 1 oncology trials to determine the maximumtolerated dose. In addition to the 3+3 design, the module includes modified Toxicity Probability Interval, Continual Reassessment, and Bayesian Logistic Regression models. We will review the theory for these methods and their application in East.
CE_31T Introduction to Modern Regression Analysis Techniques: Linear, Logistic, Nonlinear, Regularized, GPS, LARS, LASSO, Elastic Net, and MARS
Instructor(s): Mikhail Golovnya
This workshop will introduce the main concepts behind Jerome Friedman's GPS andMARS modern regression tools, which can help analysts quickly develop predictive models. All attendees will receive six months' access to fully functional versions of the SPM Salford Predictive Modeler software suite. Basic knowledge of classical and logistic regression is recommended.
CE_32T Model Selection Methods with Examples from SAS/STAT Software
Instructor(s): Funda Gunes
What subset of the effects provides the best model for the data? This workshop explains how you can address this question with modern model selection methods for linear and generalized linear models. We will focus on applications of the GLMSELECT procedure, but also feature the new HPGENSELECT procedure and HPREG procedures.
CE_33T Multilevel and Mixed Models in Stata
Instructor(s): Bill Rising
This workshop covers the use of Stata to fit multilevel (mixed) models. The focus will be on linear (Gaussian) models, but binary and count responses will be considered. No prior knowledge of Stata is required, but familiarity with the methodology and experience in fitting these models by other means will prove useful.
CE_34T Designing Confirmatory Trials with Multiple Endpoints in East® 6.3
Instructor(s): Cyrus Mehta and Lingyun Liu
We will look at two new simulation tools for designing and monitoring clinical trials: Trials with Multiple Endpoints and Predictive Interval Plots.
CE_35T Evolution of Classification: From Logistic Regression and Decision Trees to Bagging/Boosting and Netlift ModelingCase Study Examples Drawn from Direct Marketing and Biomedical Data Analysis
Instructor(s): Mikhail Golovnya
We will discuss recent improvements to conventional decision tree and logistic regression technology via direct marketing and biomedical data analysis cse studies. This workshop will be especially interesting to those looking to better understand the newest advances in segmenting their databases and detecting subsets of populations. All attendees will receive six months' access to fully functional versions of the SPM Salford Predictive Modeler software suite.
CE_36T Current Methods in Survival Analysis Using SAS/STAT Software
Instructor(s): Changbin Guo
This workshop describes how to compute the nonparametric estimate of the cumulative incidence function and covers a SAS macro that implements it and provides tests for group comparison. In addition, we will discuss two approaches that are available with the PHREG procedure for evaluating the relationship of covariates to the causespecific failure.
CE_37T Power and SampleSize Analysis in Stata
Instructor(s): Yulia Marchenko
This workshop covers the use of Stata to perform power and samplesize analysis. No prior knowledge of Stata is required, but basic familiarity with power and samplesize analysis will prove useful.
CE_38T Applied Data Mining Analysis: A StepbyStep Introduction Using RealWorld Data Sets
Instructor(s): Mikhail Golovnya
This workshop follows a stepbystep approach to introduce advanced automation technology, including CART, MARS, TreeNet Gradient Boosting, Random Forests, and the latest multitree boosting and bagging methodologies by the original creators of CART. All attendees will receive six months' access to fully functional versions of the the SPM Salford Predictive Modeler software suite.
CE_39T Power and Sample Size Computations
Instructor(s): John Castelloe
We will review basic methodology for power and sample size computations for a number of analyses, including proportion tests, ttests, confidence intervals, equivalence and noninferiority tests, survival analyses, correlation, regression, ANOVA, and more complex linear models. A basic understanding of power and sample size computations is assumed.
CE_40T Multiple Imputation Using Stata
Instructor(s): Yulia Marchenko
This workshop covers the use of Stata to perform multipleimputation analysis. No prior knowledge of Stata is required, but basic familiarity with multiple imputation will prove useful.
CE_44P Strategic Career Management
Instructor(s): Janet Bickel
Targeted at the needs of earlycareer statisticians, this course introduces key career skill areas, supplementing what is obtainable from institutional career advising programs and mentors. It follows a highly interactive format, with brief presentations alternating with opportunities for reflection, pair work, small group discussion, and skills practice.
CE_45P Effective Presentations for Statisticians
Instructor(s): Jennifer van Mullekom and Bob Starbuck
This course will cover slide preparation, crafting an argument, oral presentations, and communicating statistical ideas. Attendees will review examples of effective presentation techniques, learn how to make effective presentations to different audience types using various platforms, and improve communication skills to both statisticians and nonstatisticians.
CE_46P From Idea to Publication: How to Get That Book Written
Instructor(s): James Ramsay and Maura Stokes
This interactive workshop provides a framework for making the decision to write a book and planning the writing and editing process. The first part focuses on book design, while the second part focuses on managing the writing process.
CE_47T Clinical Trial Simulation and Design Using the FACTS Platform
Instructor(s): Scott Berry and Ashish Sanil
The FACTS platform enables users to define and simulate a large class of trials that encompass a range of features including fixed and Bayesian adaptive designs with continuous, dichotomous, and timetoevent endpoints; clinical utilitybased combination of multiple endpoints; enrichment designs; and doseescalation. We will present examples to illustrate the process of designing a trial by iteratively simulating and exploring a range of designs using FACTS.
Monday Roundtables and Speaker Luncheons
ML03 What's It Like to Be a Statistician in the Physical and Engineering Sciences?
Sponsor: Section on Physical and Engineering Sciences
Instructor(s): Tena Katsaounis, Ohio State University
Join us for a discussion about SPES activities and programs. Tell us about your interests and find out how you can become an active member of SPES.
Fee for this session includes continental breakfast.
Tuesday Roundtables and Speaker Luncheons
Wednesday Roundtables and Speaker Luncheons
WL08 Statistical Issues in Process Validation of Pharmaceutical Products
Sponsor: Biopharmaceutical Section
Instructor(s): Katherine E. D. Giacoletti, McNeil Consumer Healthcare/Johnson & Johnson
This roundtable discussion is related to the contributed session on the same topic.
Fee for this session includes lunch.
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