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Dr. Brady T. West

is an Assistant Research Professor in the Survey Methodology Program at the University of Michigan Institute for Social Research, and a Statistical Consultant at the Center for Statistical Consultation and Research (CSCAR) at the University of Michigan (Ann Arbor). His current research interests include survey nonresponse, interviewer variance, 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.

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 of Linear Mixed Models: A Practical Guide using Statistical Software (Chapman Hall/CRC)Co-author of Applied Survey Data Analysis (Chapman Hall/CRC)

For a complete listing, please see website link below.

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."

Websites links:
Brady West

Courses:
Analysis of Survey Data from Complex Sample Designs
Mixed and Heirarchical Linear Models

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