2nd Annual American Statistical Association Conference on

StAtiStiCAl PrACtiCeFebruary 21–23, 2013 Sheraton New Orleans HotelNew Orleans, louisiana

innovations and Best Practices for the Applied Statistician

The American Statistical Association invites you to join fellow practi-

tioners engaged in using statistics to solve real-world problems at the

2013 ASA Conference on Statistical Practice: Innovations and Best

Practices for the Applied Statistician.

The conference, to be held in New Orleans, Louisiana, February

21–23, 2013, is the ASA’s second annual gathering designed for applied

statisticians that promises to be informative and engaging. Sessions will

focus on the following four tracks:

• Communication,Impact,andCareerDevelopment

• DataModelingandAnalysis

• PredictionandAnalytics

• SoftwareandGraphics

We hope to see you in New Orleans!

American Statistical Association Conference on

STATISTICAL PRACTICENew Orleans, LA February 21–23 2013

CONFereNCe SCHEDULE

Thursday, February 21 8:00 a.m. – 5:00 p.m. Short Courses

6:30p.m.–8:00p.m. PosterSessionandOpeningMixer

Friday, February 227:30 a.m. – 9:00 a.m. Continental Breakfast and Keynote Presentation

9:00 a.m. – 5:00 p.m. Short Course

9:00 a.m. – 10:30 a.m. Concurrent Sessions

10:30 a.m. – 10:45 a.m. Break

10:45 a.m. – 12:15 p.m. Concurrent Sessions

12:15 p.m. – 1:30 p.m. Lunch (on own)

1:30 p.m. – 3:00 p.m. Concurrent Sessions

3:00 p.m. – 3:15 p.m. Break

3:15 p.m. – 4:45 p.m. Concurrent Sessions

4:45 p.m. – 6:15 p.m. Poster Session and Refreshments

Saturday, February 23

7:30 a.m. – 9:00 a.m. Continental Breakfast and Poster Session

9:00 a.m. – 10:30 a.m. Concurrent Sessions

10:30 a.m. – 10:45 a.m. Break

10:45 a.m. – 12:15 p.m. Concurrent Sessions

12:15 p.m. – 1:30 p.m. Lunch (on own)

1:30 p.m. – 3:30 p.m. Tutorials

1:45p.m.–3:30p.m. PracticalComputingExpo

4:00 p.m. – 5:15 p.m. Feedback Session with Prizes

StAtiStiCAl PrACtiCe2013

Thursday, February 21

8:00 a.m. – 5:00 p.m.

SC1: Management Fundamentals instructor: Bill Williams, Organizational learning Consultant

This course addresses skill areas critical to effective people management, including material for manag-ers who might describe themselves as introverts and the following: understanding the role of a “people manager,” forming effective relationships with people reporting directly to you, setting and communicating expectations,providingeffectivefeedback,andcoachingfor performance and development.

SC2: A Corporate Perspective: Financial Savvy for Statisticians instructor: Frederick Faltin, the Faltin Group

Thiscoursediscussestheroleofcorporatefinance,thefinancialissuesthatdrivedecisionmakingandmarketperceptions, and key topics needed for an understand-ingofcorporatefinancialmanagement.Alongtheway,weacquaintattendeeswiththelanguageoffinancialmanagement, with the broader aim of helping them better integrate into the corporate mainstream and

CONFereNCe PROGRAMSHORT COUrSeS

enhance their ability to contribute to, and prosper within, their respective organizations. We’ll conclude withadiscussionabout“currentevents”:theGreatRecession and European debt crisis. Attendees will receive course notebooks with presentation contents; nospecificsoftwareisrequired,althoughtherewillbeillustrationsusingMicrosoftExcel.

SC3: Seven Techniques to Maximize Speech Clarity if English Is Your Second Language instructor: William A. Vance, Yale University and executive Voice, llC

In this course, you will learn how to increase the clar-ity of every word and sentence you speak. We will develop seven techniques for reducing your accent, including controlling speech speed, highlighting ideas, making words clear, strengthening vowel and consonant sounds, improving grammatical accuracy, and building fluency.Specialattentionwillbegiventothetechnicalvocabulary of statistics. The course is fast-paced and interactive, with opportunities for immediate personal application of new skills. We will use specialized tools, such as speech analysis software, to provide a metrics-based gauge of your improvement in the session. The course includes a required pre-evaluation of your oral communication skills.

8:00 a.m. – 12:00 p.m.

SC4: Effective Presentations for Statisticians instructors: Bob Starbuck, Wyeth (retired), and Jeanine Buchanich, University of Pittsburgh

This course will cover the basics of presentation skills for statisticians. It is under development by ASA President Bob Rodriguez’s Career Success Factors Workgroup. Topics include slide preparation, craft-ing your argument, proofreading, timing, and practice. Jeanine is the primary developer and has given an extendedversionofthiscoursetostatisticiansattheUniversity of Pittsburgh School of Public Health.

KEY DATESOctober 1, 2012—Conference registration Opens

December 31, 2012—early registration Deadline (Speakers and instructors deadline to register)

January 25, 2013—Housing Deadline

February 7, 2013—Conference registration Closes and Cancellation Deadline

February 21–23, 2013—Conference on Statistical Practice

SC5: Tree Modeling instructor: Chris Peterson, Capital One

This course will provide a basic overview of tree modeling techniques. It will cover when tree model-ing is appropriate and how to judge the quality of a tree model through the application of tree modeling in several industries. It will reference the capability of different software packages for tree modeling.

1:00 p.m. – 5:00 p.m.

SC6: Survey Sampling: Design, Weighting, and Analysisinstructor: David Morganstein, Westat

In this course, we will review and compare tools used bythesampledesignertoproduceanefficientandcost-effectivedesign:stratification,clustering,andweighting.Three approaches—design-based, model-based, and model-assisted—will be compared. Attendees will learn about steps in the survey weighting process: base weight, adjustments for ineligibility, adjustments for nonresponse andbenchmarkingtoexternallyobtainedcontroltotals.We also will discuss the most common approaches forcreatingsamplingerrorestimates:exactmethods,linearization, and replication. Of great importance, survey estimates—including models and model parameters—require specialized formulas and software for descriptive and analytic results. We will discuss the impact of the sample design and weight adjustment process on the survey estimates and model parameters.

SC7: A Crash R Course on Statistical Graphics instructor: isabella Ghement, Ghement Statistical Consulting Company, ltd.

This half-day course is a must for anyone who wishes to learn how to use the powerful open-source statisti-cal software package R to produce publication-quality graphics. After providing participants with an overview of R and its data import capabilities, I will introduce two of the graphical systems available in R: base graph-ics and lattice graphics. Participants will learn through avarietyofdemosandexerciseshowtouseeachgraphical system to create and customize publication-quality graphics, ranging from simple univariate graphics tocomplexhypervariategraphics.Participantsalsowilllearn how to use scripts to store R commands for data visualization and how to save R graphical output for further reporting. To get the most out of this course, participants should bring their laptops preinstalled with R. No previous knowledge of R is required.

Continental Breakfast and Keynote PresentationFriday, February 227:30 a.m. – 9:00 a.m.

Some Thoughts on How to Be More Successfulrobert Starbuck, Wyeth (retired)

Based on his 32-year career in in-dustry and extensive involvement in professional societies, robert Starbuck will provide recom-mendations for becoming more successful in one’s career.

Friday, February 22

9:00 a.m. – 5:00 p.m.

SC8: Analysis of Recurrent Events Data with Applicationsinstructor: Wayne Nelson, Consultant

Mostreliabilityandsurvivaldataanalysesdealwithdatawith one event for each sample unit, the end of life. However, in many applications, sample units undergo repeated events, such as repairs of products, recur-rences of tumors, consumer purchases on the Internet, remarriages, and reincarcerations. This course pres-ents analyses of such recurrent-events data, which do notyetappearinmosttexts.ThecourseisbasedonWayne Nelson’s book Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and other Applications,publishedbyASA-SIAMin2003, www.siam.org/books/sa10.

FOUR TRACKS FOR THE APPLIED STATISTICIAn:

Data Modeling and Analysis

Prediction and Analytics

Communication, impact, and Career Development

Friday, February 22

9:00 a.m. – 10:30 a.m.

CS01: Communication, Impact, and Career DevelopmentBecoming a Manager of Statisticians JohnJohnson,REGISTRAT-MAPI

Influence: Essential for Success as a Statistician Paul Berg, Eli Lilly and Company

CS02: Data Modeling and AnalysisSurvival Analysis of longitudinal event History Data from Complex Samples SteveHeeringa,UniversityofMichiganInstituteforSocial Research

Multigraph representation of loglinear Models Harry Khamis, Wright State University

CS03: Prediction and Analyticsrisk intelligent Modeling: Avoiding Common Pitfalls of Black Box Analytics RobertTorongo,Deloitte&Touche

Data Analytics Algorithms introductory Overview Rodney Tjoelker, Boeing

10:45 a.m. – 12:15 p.m.

CS04: Communication, Impact, and Career DevelopmentHow to explain Common Statistical Misconceptions to Nonstatisticians JohnColton,Minitab

if You Can’t explain it Simply, You Don’t Understand it Well enough: effective Communication of Statistical results HeatherKrause,DataSciencefortheNonprofitWorld

CS05: Data Modeling and AnalysisDealing with Missing Data—From Small to large Scale AndrewGrannell,StatisticalSolutions

Multiple imputation: An introduction and Applications Nathaniel Schenker, National Center for Health Statistics

CS06: Prediction and AnalyticsSupporting Healthcare Policy initiatives through Modeling efforts: issues of Data Capacity and Statistical QualitySteven Cohen, Agency for Healthcare Research and Quality

Average versus local effects S. Stanley Young, NISS

1:30 p.m. – 3:00 p.m.

CS07: Communication, Impact, and Career Developmentinstructing Communication in Statistical Collaborations Eric Vance, Laboratory for Interdisciplinary Statistical Analysis and Virginia Tech

CS08: Data Modeling and AnalysisBridging the Gap Between ideal and Practical Conditions in the Application of Statistical Methods GretchenFalk,Ernst&Young

resampling: No Assumptions Needed! DennisEggett,BrighamYoungUniversity

Software and Graphics

CS09: Software and GraphicsStatistics and Graphics for Analysis and insight DavidDickey,NorthCarolinaStateUniversity

3:15 p.m. – 4:45 p.m.

CS10: Communication, Impact, and Career DevelopmentConsulting Session—Gone in 60 Minutes ToddCoffey,SeattleGenetics,Inc.

the Dual learning Curve in Statistical Consulting John Bunge, Cornell University

CS11: Data Modeling and Analysisreleasing Statistical information While Protecting the Underlying individual Data PaulMassell,U.S.CensusBureau

Uncovering the truths Behind internet Domain registrations EdwardMulrow,NORCattheUniversityofChicago

CS12: Software and GraphicsGeneralized linear Mixed Model–Based Power and Precision Analysis as a tool for Planning research Designs Walt Stroup, University of Nebraska, Lincoln

Do Your Graphs Speak Clearly? SanjayMatange,SASInstitute

Saturday, February 23

9:00 a.m. – 10:30 a.m.

CS13: Data Modeling and AnalysisConfounders, Mediators, Moderators, and Suppressors: identifying and testing for Different types of Covariates Julia Seaman, University of California at San Francisco

Mixed Models for Business Decisionmaking SamWeerahandi,Pfizer

CS14: Prediction and AnalyticsHow Data Science is Used in Business Decisionmaking in Microsoft SarmilaBasu,Microsoft

transforming the Corporation to Fully leverage Business Analytics Randy Bartlett, Infosys

CS15: Software and GraphicsCreating Data Visualizations with the Processing Graphics language Patrick Hall, SAS Institute

Productizing Your Statistical Analysis MichaelKane,YaleUniversity

10:45 a.m. – 12:15 p.m.

CS16: Data Modeling and Analysisestimation of individual treatment effects CraigRolling,UniversityofMinnesota

Meta-Analysis with Proportion Data Meng-JiaWu,LoyolaUniversityChicago

CS17: Prediction and Analyticsthe effectiveness of Display Ads TimHesterberg,Google

A Novel Approach for improving Predictive Accuracy of Prognostic Models for Violent reoffending ConstantinosKallis,QueenMary,UniversityofLondon

CS18: Software and GraphicsUnder the Hood with exploratory Factor Analysis: What is rotation, really? JasonOsborne,OldDominionUniversity

enhanced tipping-Point Displays Victoria Liublinska, Harvard University

CONFereNCe PROGRAMCOnCURREnT SeSSiONS

Saturday, February 23

1:30 p.m. – 3:30 p.m.

T1: Leading Effective Meetingsinstructor: Bill Williams, Organizational learning Consultant

Meetingsthatarepoorlyplannedandruncanbeafrustrating waste of time. Following a few basic practic-es for planning and conducting meetings can avert a lot of grief. Learn how to be an effective meeting leader in this highly interactive tutorial that promises to be more enlightening than most of the meetings you attend.

T2: Big Data – How to Find a Diamond in the Rough: A Step-by-Step Guide to Data Mininginstructors: John lin and Qizhi Wei, Aspen Marketing Services, a division of epsilon

This tutorial presents an award-winning data mining approachthataddressestheBigDatachallenge.Itwillprovide applied statisticians a comprehensive guide to develop analytic solutions to generate valuable insights from the massive data we collect today. Common data mining techniques such as sampling, variable creation and reduction methods, model development process, model diagnoses and validation, scoring and imple-mentation, and backend analysis and measurement will be covered. Real industry case studies will be used to illustrate how to apply various data-mining techniques to solve clients’ business issues.

CONFereNCe PROGRAMTUTORIALS

T3: Equivalence Testing Basicsinstructor: Melissa Ziegler, DuPont

In many cases, statisticians are trying to differentiate offerings. But what if you need to show that two of-ferings are the same? This could include that a generic drug is the same as the brand name, that two labs are equivalent, or that a product produced in a new facility is the same as a product produced in an old facility. The technique used to do this is equivalence testing. This tutorial provides a basic understanding of the purpose of two-sample equivalence testing (test vs. control). We will compare this approach with traditional hypoth-esis testing and discuss the establishment of a region of clinical indifference. The course will focus on the practical interpretation of Type I error and power in theequivalencecontext.Othertopicstobecoveredinclude the evolution of equivalence testing analysis in thecontextoftheliteraturebeginningwithWestlake,Shiurman(TOST),andmorerecentlydevelopedexactconfidenceintervalmethods.

T4: Influencing Friends, Foes, and Your Career instructor: James l. Hess, leggett & Platt incorporated

This tutorial gives a framework for a statistician’s role in a business. Success is measured by the business contribution a statistician makes in the work place; this tutorial provides skills that will improve the partici-pant’s “batting average” in this arena. Activities are interspersedinthreemaincontentsections:influence,business case development, and lessons learned. When you employ what you learn in this course, you will better position yourself to contribute to solutions of important problems in your organization.Register online at www.amstat.org/csp.

Saturday, February 23

1:45 p.m. – 3:30 p.m.

PCE1: JMP Pro for the Practicing Statistician Sam Gardner, JMP, a division of SAS

Come see the depth and breadth of the data visualiza-tionandstatisticalanalysistoolsavailableinJMPPro.JMPProhasgreatvisualexplorationtoolsthataidtheexploratorydataanalysisprocess.Italsohasadvancedpredictive analytics methods such as recursive parti-tioning, neural networks, PLS, gradient boosting, and random forests.

PCE2: Mixed Model Power Analysis by Example: Using Free Web-Based Power SoftwareDeborah Glueck and Aarti Munjal, University of Colorado, Denver

Join us for an interactive demonstration of power and samplesizecalculationsforcommonmixedmodelanalyses. Attendees will learn new statistical methods forpowerandsamplesizeforthegenerallinearmixedmodel, gain understanding of how to apply the meth-ods to multilevel and longitudinal data, and implement themethodsusingGLIMMPSE—afree,web-basedsoftware product.

PCE3: Taming Big Data: Predictive Analytics Powered by SAP’s HAnAManavendra Misra, Cognilytics

Learn how to take advantage of in-memory technol-ogy to reduce the time and cost involved in performing predictive analysis against vast data volumes. You can de-sign predictive models and visualize, discover, and share insights—and do it in real time by harnessing the power of SAP HANA combined with SAP Predictive Analysis.

We will demonstrate the power of SAP Predictive Analysis running on HANA by showing a customer segmentationexample.Customersegmentationisof critical importance across a number of industries where one needs to identify groups of like customers

for product recommendation, customer service, or risk management. Running an automated segmentation or clustering algorithm is a computationally demanding task that can often take hours to run. We will show how segmentation of a 10.5 million loan portfolio can beperformedusingaK-Meansalgorithminamatterof a couple of minutes, instead of hours or days on traditional disk-based predictive systems.

CONFereNCe PROGRAMPRACTICAL COMPUTInG eXPO

REGISTRATIOn iNFOrMAtiONregister online at www.amstat.org/csp or by returning the registration form provided.

HOTEL iNFOrMAtiONSheraton New Orleans Hotel500 Canal StreetNew Orleans, lA 70130

the Sheraton New Orleans is located a step away from New Orleans’ famous French Quar-ter. there are abundant activities available here, including classic restaurants, music venues, shopping, and guided tours. Some of the more popular areas are royal Street, Chartres Street, and Bourbon Street. And don’t forget the historic French Market, famous for its souvenirs.

A limited number of rooms at the Sheraton New Orleans are available at the group rate listed below, if booked by Friday, January 25, 2013, at 5:00 p.m. Ct. to make reservations, call the hotel reservation line at (888) 627-7033 or (504) 525-2500. reference the “American Statistical Association” to receive the group rate.

Main House Single/Double: $185

Club Level Single/Double: $215

Government: limited quantity available at prevailing government per diem

American Statistical Association Conference on

StAtiStiCAl PrACtiCenew Orleans, LA February 21–23

SPOnSOR Principal Sponsor - $7,500 combined investment

Listing in the February issue of Amstat News, reaching more than 18,000 members of the American Statistical Association

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Onsite signage featuring all sponsoring companies

Acknowledgement on the website, including a link to your company website

Supporting Sponsor - $2,500 combined investment

See www.amstat.org/csp for a list of sponsorship op-portunitiesanddetailedinformationaboutexhibitingand sponsorship.

eXHiBit & SPONSOr

Statistical Practice 2013 provides a great opportunity to meet a targeted group of statisticians face-to-face in a comfortable, intimate environment.

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Contact Amy Farris at amy@amstat.org or (703) 684-1221 for more information about these opportunities.

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SAS Institute

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CAnCELLATIOn POLICYCancellations received byDecember 31, 2012,will be refunded, less 20% all items. Requests forrefundsreceivedafterDecember31willnotbehonored.Allcancellationsmustbemadeinwritingto asainfo@amstat.org,viafaxto(703)684-2037,ormailedtoCSPRegistration,732N.WashingtonStreet,Alexandria,VA22314.

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REGISTRATIONFORM

February 21–23, 2013 • Sheraton New Orleans Hotel, New Orleans, louisianawww.amstat.org/meetings/csp/2013

InSTRUCTIOnS: 1. Print or type all information and retain a copy for your records. 2. Use a separate form for each registrant. 3. Mail form with payment to CSP registration, 732 N. Washington Street, Alexandria, VA 22314. Fax form (credit card only) to (703) 684-2037. registration form must be received by February 7, 2013.

Forms received without payment will not be processed. Purchase orders will not be accepted. No exceptions. ASA Federal ID #53-0204661

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American Statistical Association Conference on

StAtiStiCAl PrACtiCe

REGISTRATIOn FEES (required) By Dec. 31 Jan. 1–Feb. 7

❑ ASA Member $340 $395 $__________

❑ New* Member $480 $535 $__________

❑ Nonmember $520 $570 $__________

❑ Student $160 $160 $__________

❑ ASA/SSC Accredited Member

(PStat®/A.Stat.) $270 $270 $__________

The ASA reserves the right to adjust member registration type to nonmember and charge the differenceinratesifstatedmembershipisnotcurrentlyactive.Insuchanevent,youwillbenotifiedfirstandgiventheopportunitytoupdateyourmembership.

*Includesdiscountedfirst-yearASAdues;notavailabletorenewingorrecentlylapsedmembers.

ADDITIOnAL COURSE FEES (optional)

See the second page of this form or visit www.amstat.org/meetings/csp/2013 for course details. Space is limited.

Full-Day Short Courses—February 21, 8:00 a.m.–5:00 p.m. Oct. 1–Dec. 31—$300 members and students; $240 Pstat®/A.Stat.; $350 nonmembers Jan. 1–Feb. 7—$345 members and students; $240 Pstat®/A.Stat.; $395 nonmembers

❑ SC1: Management Fundamentals $__________❑ SC2: A Corporate Perspective: Financial Savvy for Statisticians $__________

Oct. 1–Feb. 7—$900. All registrants must complete an online assignment prior to the course.

❑ SC3: Seven techniques to Maximize Speech Clarity if english is Your Second language $__________

Half-Day Short Courses—February 21 Oct. 1–Dec. 31—$200 members and students; $160 Pstat®/A.Stat.; $250 nonmembers Jan. 1–Feb. 7—$235 members and students; $160 Pstat®/A.Stat.; $285 nonmembers

8:00 a.m.–12:00 p.m.❑ SC4: effective Presentations for Statisticians $__________❑ SC5: tree Modeling $__________

1:00 p.m.–5:00 p.m.❑ SC6: Survey Sampling: Design, Weighting, and Analysis $__________❑ SC7: A Crash r Course on Statistical Graphics $__________

Full-Day Short Course—February 22, 9:00 a.m.–5:00 p.m. Oct. 1–Dec. 31—$300 members and students; $240 Pstat®/A.Stat.; $350 nonmembers Jan. 1–Feb. 7—$345 members and students; $240 Pstat®/A.Stat.; $395 nonmembers

❑ SC8: Analysis of recurrent events Data with Applications $__________

Tutorials—February 23, 1:30 p.m.–3:30 p.m. Oct. 1–Dec. 31—$60 members and students; $50 Pstat®/A.Stat.; $70 nonmembers Jan. 1–Feb. 7—$75 members and students; $50 Pstat®/A.Stat.; $85 nonmembers

❑ t1: leading effective Meetings $__________❑ t2: Big Data—How to Find a Diamond in the rough: A Step-by-Step

Guide to Data Mining $__________❑ t3: equivalence testing Basics $__________❑ t4: Influencing Friends, Foes, and Your Career $__________

Practical Computing Expos—February 23, 1:45 p.m.–3:30 p.m. Included in registration fee. Pre-registration is requested to ensure proper set-up and preparation.

❑ PCe1: JMP Pro for the Practicing Statistician❑ PCe2: Mixed Model Power Analysis by example: Using Free Web-Based Power Software❑ PCe3: taming Big Data: Predictive Analytics Powered by SAP’s HANA

TOTAL FEES: $__________

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American Statistical Association Conference on

StAtiStiCAl PrACtiCeFebruary 21–23, 2013

Sheraton New Orleans HotelNew Orleans, Louisiana

innovations and Best Practices for the Applied Statistician

Promoting the Practice and Profession of Statistics