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Brady West

Brady T. West is a Research Professor at the University of Michigan, Ann Arbor. He works in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research.

West earned his Ph.D. from the Michigan Program in Survey Methodology in 2011. Before that, he received an MA in Applied Statistics from the UM Statistics Department in 2002, being recognized as an Outstanding First-Year Applied Masters student, and a BS in Statistics with Highest Honors and Highest Distinction from the UM Statistics Department in 2001.

His current research interests include the implications of measurement error in auxiliary variables and survey paradata, survey nonresponse, interviewer effects, responsive and adaptive survey design, analysis of complex sample survey data, and multilevel regression models for clustered and longitudinal data.

West is the lead author of Linear Mixed Models: A Practical Guide Using Statistical Software (the 3rd edition of which is now available), a book comparing different statistical software packages in terms of their mixed-effects modeling procedures. He is a co-author of the book Applied Survey Data Analysis (2nd ed.), which provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. He has published more than 200 articles in peer-reviewed journals, and was named a Fellow of the American Statistical Association in 2022.

You can visit his personal webpage here.

Google Scholar Citation Page

Brady's Seminars

Analysis of Complex Survey Data

This seminar provides a practical introduction to statistical methods for the analysis of complex sample survey data. Such data typically include weights that adjust for differences in probability of selection, differences in subgroup response rates, stratification, and clustering, often in...

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