JSM Preliminary Online Program
This is the preliminary program for the 2008 Joint Statistical Meetings in Denver, Colorado.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


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Legend: = Applied Session, = Theme Session, = Presenter
Colorado Convention Center = “CC”, Hyatt = “HY”

113 Mon, 8/4/08, 8:30 AM - 10:20 AM CC-F Lobby
Contributed Poster Presentations - Contributed - Poster Presentations
Section on Bayesian Statistical Science, Section on Physical and Engineering Sciences, Section on Statistical Consulting, Section on Statistical Education, Section on Statistics in Epidemiology, Section on Teaching Statistics in the Health Sciences, Section on Quality and Productivity
Organizer(s): John Castelloe, SAS Institute Inc.
Chair(s): John Castelloe, SAS Institute Inc.
Poster Topic: Spatial statistics, spatio-temporal modeling:
04: Bayesian Modeling of Wind Fields Using Surface Data Collected Over LandMargaret Short, University of Alaska Fairbanks
05: Impact of a Regional Trend on the Estimation of Unconventional Natural Gas Resources Using Local Nonparametric Prediction ModelsTimothy C. Coburn, Abilene Christian University; Emil D. Attanasi, U.S. Geological Survey; Phillip A. Freeman, U.S. Geological Survey
06: Geographic Variability of Asthma Prevalence in Inner City Schools: Chicago Initiative To Raise Asthma Health EquityLaura M. Curtis, Northwestern University; Xingyou Zhang, The Robert Grahm Center; Ruchi S. Gupta, Northwestern University & Children's Memorial Hospital; Kevin B. Weiss, Northwestern University
Poster Topic: Statistical consulting:
07: Effective Collaboration: Are Junior Faculty Knowledgeable About How To Work with Statisticians?Brianna C. Bright, University of Oklahoma Health Sciences Center
08: Tips for Providing Statistical Consultation to Medical TraineesChristina A. Haines, University of Alberta; Rhonda Rosychuk, University of Alberta
09: Projects STATCOM UHasseltHerbert Thijs, Hasselt University; Amparo Y. Castro, Hasselt University; Daniel Martinez, Hasselt University; Vishva Danthurebandara, Hasselt University
10: STATCOM at Chicago: Universities Working Together To Serve the CommunityMeredith Wascher, DePaul University; Bart Phillips, E-B Research, LLC; Diya Zhang, Northwestern University
11: Seven Years of STATCOM at Purdue University: Managing a Growing Number of Student Volunteers — Douglas Baumann, STATCOM at Purdue; Andrea Rau, Purdue University
12: STATCOM at Iowa State: Experiences and Projects in the First YearDavid Rockoff, Iowa State University; Jennifer C. Huckett, Iowa State University; Anna Peterson, Iowa State University; Jessica Chapman, Iowa State University; Nicholas Beyler, Iowa State University; Jonathan Hobbs, Iowa State University; Timothy Bancroft, Iowa State University
13: STATCOM at the University of Washington: Implementing a Peer Evaluation System for a Local Fire DepartmentDavid W. Lockhart, University of Washington; Julian Wolfson, University of Washington; Annette Ghee, University of Washington; Rori Rohlfs, University of Washington
14: STATCOM at University of Michigan: Making a Michigan Difference - A Promising BeginningMaria Larkina, The University of Michigan
Poster Topic: Statistical education, teaching, and training:
15: Classroom Use of R: Coverage Probabilities of Poisson Interval EstimatesLioudmila Belan, California State University, East Bay; Bruce Trumbo, California State University, East Bay; Eric Suess, California State University, East Bay
16: Real Data with Real Questions: Computer Labs for Introductory and Intermediate StatisticsRosemary Roberts, Bowdoin College; Ann Cannon, Cornell College
17: Teaching Introductory Statistics with Simulations in JMP Statistical Discovery SoftwareWilliam M. Duckworth, Creighton University; Amy Froelich, Iowa State University; Mark Bailey, SAS Institute Inc.; Wayne Levin, Predictum Management Sciences, Inc.
18: Teaching Undergraduate Statistics As A Capstone For Mathematics MajorsJeremy Nadolski, Benedictine University
19: A First Step to Understanding the Difficulty in Teaching Sampling Distributions, Sampling Error, and Statistical InferenceS. David Kriska, The Ohio State University; Mark C. Fulcomer, Richard Stockton College of New Jersey; Marcia M. Sass, University of Medicine and Dentistry of New Jersey
20: Teaching Statistical ConsultingLynn Eudey, California State University, East Bay
21: A Hunt for Better Features in Teaching an Introductory Statistics ClassJulia A. Norton, California State University, East Bay; Yan Yan Zhou, California State University, East Bay; Farnaz Ganjeizadeh, California State University, East Bay
23: Using the GAISE Guidelines in a Graduate Biomedical Statistical Methods ClassEmily H. Sheldon, Virginia Commonwealth University; Jessica M. Ketchum, Virginia Commonwealth University; Al M. Best, Virginia Commonwealth University
24: A Visual Model for the Variance and Standard DeviationJames B. Orris, Butler University
26: Two-Sample Considerations: From AP Question to Student/Faculty ResearchKen Constantine, Taylor University
27: Random Structures: A Course Bridging Statistics and Mathematics Programs in the Liberal ArtsBrian D. Jones, Kenyon College
28: Active Learning: Bayesian Statistics Modules You Can Include in Your Frequentist First or Second Statistics CourseLinda B. Collins, The University of Chicago
29: Classroom Illustrations of the Construction of Discrete Sampling DistributionsMark C. Fulcomer, Richard Stockton College of New Jersey; S. David Kriska, The Ohio State University; Marcia M. Sass, University of Medicine and Dentistry of New Jersey; Maritza Jauregui, Richard Stockton College of New Jersey
30: Incorporating Medical Literature in the Statistics Classroom: From Initial Idea to ExecutionKirk Anderson, Grand Valley State University
31: A Synergistic Effort To Recruit Future Biostatisticians in Arkansas High SchoolsSongthip Ounpraseuth, University fo Arkansas for Medical Sciences; Page C. Moore, University of Arkansas for Medical Sciences
32: Recruiting Undergraduate Statistics Majors and MinorsPhyllis J. Curtiss, Grand Valley State University; Paul Stephenson, Grand Valley State University
Poster Topic: QC, operation research, risk assessment:
33: Analysis of Sampled Fishbone Diagrams for Completeness and Size of a Second StageFrank Matejcik, South Dakota School of Mines & Technology
 

JSM 2008 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised September, 2008