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STATISTICAL
ANALYSIS WITH MISSING DATA
A CSCAR Workshop presented by the Center for
Statistical Consultation and Research and NSF Center
for the Analysis of Pathways from Childhood to
Adulthood
May 17 and 18, 2005
Instructors: Roderick Little, Trivellore
Raghunathan, Brenda Gillespie, Kathy Welch
and Brady West
This two-day workshop, presented by University of Michigan Professors
Roderick Little and Trivellore Raghunathan, and CSCAR's staff Brenda Gillespie,
Kathy Welch, and Brady West, will provide an overview of approaches to statistical analysis in
the presence of missing data and statistical computing tools for dealing
with missing data in statistical analysis.
Statistical Analysis With Missing Data will
address the following issues:
- Types of nonresponse and missing data mechanisms
- Simple approaches: Complete case and available
case
- Weighting methods for unit nonresponse
- Imputation methods for item nonresponse
- Model-Based methods
- Longitudinal analysis and attrition
- Implementing methods in statistical software
- Applications to survey data
There will also be hands-on computer lab sessions
to implement missing data methods on real data sets.
INSTRUCTORS:
Roderick Little is Professor in
the Department of Biostatistics and the Department of Statistics at the
University of Michigan. He is past Coordinating and Applications Editor of the
Journal of the American Statistical Association. He is coauthor of Statistical
Analysis with Missing Data (R.J.A. Little and D.B. Rubin, 1987), which has
become the standard statistical text on the subject.
Trivellore Raghunathan is
Professor in the Department of Biostatistics and Research Professor in the
Survey Research Center, Institute for Social Research.
Brenda Gillespie is the associate director of CSCAR and Assistant
Professor in the Department of Biostatistics at the University of Michigan.
She has extensive experience as a statistical consultant, and specializes
in the various methods for analysis of censored data.
Kathy Welch is a Statistical Consultant and primary SAS Consultant
for CSCAR. She consults at CSCAR on
linear regression, Poisson regression, and analysis of cluster or longitudinal
data, as well as other topics. Kathy
also teaches a course in statistical computing for the School of Public Health,
and workshops on SAS for CSCAR and various academic departments and public
agencies.
Brady West is the primary
SPSS consultant at CSCAR, and consults on topics in Stata as well as a variety
of other statistical software packages.
AUDIENCE:
Anyone interested in modern methods for handling
nonresponse and missing data in statistical analysis.
This workshop will emphasize concepts and applications
over technical details, but will presume a familiarity
with basic statistical concepts, including probability
distributions, estimation, maximum likelihood and regression.
PROVISIONS:
The participant will receive outlines and a
bibliography. Professor Little's book, Statistical
Analysis with Missing Data is recommended
but not required. Refreshments will be provided. Lunch not provided.
DATE: Tuesday and Wednesday, May 17 and 18, 2005
TIME: 8:30 a.m. -
5:00 p.m.
Morning Lecture: 8:30 a.m. - 12:00 noon
Afternoon Lab: 1:00 p.m. - 5:00 p.m.
LOCATION: Morning
Lecture: Steven M. Ross School of Business, Room K1310
Afternoon Lab: Steven M. Ross School of Business, Room E0402
FEE: Registration until May 2, 2005:
$250 for University of Michigan affiliated faculty, staff and
students
$600 for others
Registration after
May 2, 2005:
$300 for University of
Michigan affiliated faculty, staff and students
$720 for others
Please make checks payable to CSCAR-University of Michigan, or give
the University of Michigan Project/Grant or Short Code to be billed.
Send checks to: CSCAR, 3550 Rackham Bldg., University of Michigan, 915
E. Washington St., Ann Arbor MI 48109-1070.
Registration: Call CSCAR (734)
764-7828, ext. 0.
Enrollment is limited.
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