Dr. Brady T. West is a Research Associate Professor in the Survey Research Center at the University of Michigan Institute for Social Research. His current research interests include survey nonresponse, interviewer variance, responsive and adaptive survey design, the analysis of complex sample survey data, and multilevel regression models for clustered and longitudinal data. He teaches several yearly short courses on statistical methodology and software, and is a lead or co-author on numerous publications presenting analyses of complex sample survey data.
Dr. Brady T. West
Instructor Profiles
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Dr. Brady T. West
Statistics.com Instructor Since
January 2006
Education
- BS Statistics, University of Michigan
- MA Applied Statistics, University of Michigan
- PhD Survey Methodology, University of Michigan
Areas of Expertise
- Interviewer Effects
- Measurement Error in Survey Paradata and Auxiliary Variables
- Multilevel Modeling, Methods for Repairing Nonresponse Error
- Adaptive / Responsive Survey Designs
- Applications of Linear Modeling, Statistical Software
- Analysis of Complex Sample Survey Data
- Applications of Statistics to Sports
- Analysis of Clustered and Longitudinal Data Sets
Publications
- Lead author, Linear Mixed Models: A Practical Guide using Statistical Software (Chapman Hall/CRC)
- Co-author, Applied Survey Data Analysis (Chapman Hall/CRC)
Awards
- 2010 and 2011: Winner, JSM Student Paper Competition, Sponsored by the Social Statistics, Government Statistics, and Survey Research Methods Sections of the American Statistical Association
2010: Winner, Edward C. Bryant Scholarship for Outstanding Graduate Student in Survey Statistics, American Statistical Association / Westat Corporation
2009: Winner, AAPOR Seymour Sudman Student Paper Competition
2009: “Linear Mixed Models: A Practical Guide using Statistical Software” was nominated for the 2009 Ziegel Prize, sponsored by the Journal Technometrics and honoring a first edition with clearly discussed statistical methodology that “brings together in one volume a body of material previously only available in scattered research articles and having the potential to significantly improve practice in engineering and science.”