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Research Assistant Professor, Survey Methodology, Institute for Social Research
Brady T. West is a Research Assistant Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor (U-M) campus. He also serves as a Statistical Consultant at the U-M Center for Statistical Consultation and Research (CSCAR). He earned his PhD from the Michigan Program in Survey Methodology in 2011. Before that, he received an MA in Applied Statistics from the U-M 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 U-M Statistics Department in 2001. His current research interests include the implications of measurement error in auxiliary variables and survey paradata for survey estimation, survey nonresponse, interviewer variance, and multilevel regression models for clustered and longitudinal data. He is the lead author of a book comparing different statistical software packages in terms of their mixed-effects modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software, Second Edition, Chapman Hall/CRC Press, 2014), and he is a co-author of a second book entitled Applied Survey Data Analysis (with Steven Heeringa and Pat Berglund), which was published by Chapman Hall in April 2010. He lives in Dexter, MI with his wife Laura, his son Carter, and his American Cocker Spaniel Bailey.
Elliott, M.R. and West, B.T. (In Press; Authors Alphabetical). “Clustering by Interviewer”: A Source of Variance Unaccounted for in Single-Stage Health Surveys. American Journal of Epidemiology.
West, B.T. and Peytcheva, E. (2014). Can Interviewer Behaviors During ACASI Affect Data Quality? Survey Practice, 5(7).
Krueger, B.S. and West, B.T. (2014). Assessing the potential of paradata and other auxiliary information for nonresponse adjustments. Public Opinion Quarterly, 78(4),795-831.
West, B.T., Welch, K.B. and Galecki, A.T. (with Contributions from Brenda W. Gillespie) (2014). Linear Mixed Models: A Practical Guide using Statistical Software, Second Edition. Chapman Hall / CRC Press: Boca Raton, FL.
West, B.T., Kreuter, F., and Trappmann, M. (2014). Is the collection of interviewer observations worthwhile in an economic panel survey? New evidence from the German Labor Market and Social Security (PASS) study. Journal of Survey Statistics and Methodology,
West, B.T. and Kreuter, F. (2014). A practical technique for improving the accuracy of interviewer observations of respondent characteristics. Field Methods, published online 9/22/2014.
West, B.T., and Elliott, M.R. (2014). Frequentist and Bayesian Approaches for Comparing Interviewer Variance Components in Two Groups of Survey Interviewers. Survey Methodology. Survey Methodology, 40(2), 163-188.
West, B.T., Kreuter, F., and Jaenichen, U. (2013). Interviewer Effects in Face-to-face Surveys: A Function of Sampling, Measurement Error or Nonresponse? Journal of Official Statistics, 29(2), 277-297.
Wagner, J., West, B.T., Kirgis, N., Lepkowski, J.M., Axinn, W.G., and Kruger-Ndiaye, S. (2012). Use of Paradata in a Responsive Design Framework to Manage a Field Data Collection. Journal of Official Statistics, 28(4), 477-499.
West, B.T. and Kreuter, F. (2013). Factors Affecting the Accuracy of Interviewer Observations: Evidence from the National Survey of Family Growth (NSFG). Public Opinion Quarterly, 77(2), 522-548.
West, B.T. and Groves, R.M. (2013). The PAIP Score: A Propensity-Adjusted Interviewer Performance Indicator. Public Opinion Quarterly, 77(1), 352-374.
West, B.T. and McCabe, S.E. (2012). Incorporating Complex Sample Design Effects When Only Final Survey Weights are Available. The Stata Journal, 12(4), 718-725.
West, B.T. and Little, R.J.A. (2013). Nonresponse Adjustment of Survey Estimates Based on Auxiliary Variables Subject to Error. Journal of the Royal Statistical Society, Series C (Applied Statistics), 62(2), 213-231.
Groves, R.M., Presser, S., Tourangeau, R., West, B.T., Couper, M.P., Singer, E., and Toppe, C. (2012). Support for the Survey Sponsor and Nonresponse Bias. Public Opinion Quarterly, 76(3), 512-524.
West, B.T. (2013). An Examination of the Quality and Utility of Interviewer Observations in the National Survey of Family Growth. Journal of the Royal Statistical Society, Series A, 176(1), 211-225.
West, B.T. and Galecki, A.T. (2011). An Overview of Current Software Procedures for Fitting Linear Mixed Models. The American Statistician, 65(4), 274-282.
West, B.T. (2011). Paradata in Survey Research: Examples, Utility, Quality, and Future Directions. Survey Practice, August: www.surveypractice.org.
West, B.T. and Olson, K. (2010). How much of interviewer variance is really nonresponse error variance? Public Opinion Quarterly, 74(5), 1004-1026.
Heeringa, S.G., West, B.T., and Berglund, P.A. (2010). Applied Survey Data Analysis. Chapman Hall / CRC Press: Boca Raton, FL.
McCabe, S.E., Hughes, T.L., Bostwick, W.B., West, B.T., and Boyd, C.J. (2010). Discrimination and Substance Use Disorders among Lesbian, Gay and Bisexual Adults in the United States. American Journal of Public Health, 100, 1946-1952.
McCabe, S.E., Hughes, T.L., Bostwick, W.B., West, B.T., and Boyd, C.J. (2009). Sexual Orientation, Substance Use Behaviors, and Substance Use Disorders in the United States. Addiction, 104, 1333-1345.
West, B.T. and Lamsal, M. (2008). A New Application of Linear Modeling in the Prediction of College Football Bowl Outcomes and the Development of Team Ratings. Journal of Quantitative Analysis in Sports. Vol. 4, Issue 3, Article 3.
West, B.T., Berglund, P., and Heeringa, S.G. (2008). A Closer Examination of Subpopulation Analysis of Complex Sample Survey Data. The Stata Journal, 8(4), 520-531.
West, B.T., Welch, K.B. and Galecki, A.T. (with Contributions from Brenda W. Gillespie) (2007). Linear Mixed Models: A Practical Guide using Statistical Software. Chapman Hall / CRC Press: Boca Raton, FL.
West, B.T. A Simple and Flexible Rating Method for Predicting Success in the NCAA Basketball Tournament. Journal of Quantitative Analysis in Sports: Vol. 2: No. 3, Article 3, 2006.