Christopher Bilder

Professor
Areas of Expertise: Categorical data analysis, group testing, R software, statistics education

Selected awards:

Fellow of the American Statistical Association with citation “For influential contributions in categorical data analysis and group testing methods; for leadership in the field of statistics education, especially the innovative use of computer technology; and for extensive departmental and ASA service.” (2016)

American Statistical Association’s Statistical Significance Poster Award at the Joint Statistical Meetings; given by the Scientific and Public Affairs Advisory Committee (2019)

American Statistical Association’s Outstanding Statistical Application Award (2014 and 2018)

Best Paper in Biometrics by an International Biometric Society Member Award (2018)

Consortium for the Advancement of Undergraduate Statistics Education Web Resource of the Year (2007)

Kansas State University Outstanding Graduate Teaching Assistant of the Year (1999)

Selected funding:

National Institutes of Health award #R01AI121351 (2021-2026), Group Testing for Infectious Disease Detection, National Institute of Allergy and Infectious Diseases, Competitive renewal award, PI.

National Institutes of Health award #R01AI121351 (2016-2020), Group Testing for Infectious Disease Detection: Multiplex Assays and Back-End Screening, National Institute of Allergy and Infectious Diseases, PI.

National Institutes of Health award #R01AI067373 (2007-2011), Disease Detection and Prevalence Estimation through Informative Group Testing, National Institute of Allergy and Infectious Diseases, PI.

National Science Foundation award #0418632 (2004-2007), Estimation and Testing for Associations with Multiple-Response Categorical Variables from Complex Surveys, Division of Social and Economic Sciences, PI.

National Science Foundation award #0207212 (2002-2003), Testing for Marginal Independence between Two or More Multiple-Response Categorical Variables, Division of Social and Economic Sciences, PI.

Selected Publications:

Bilder, C. and Loughin, T. (2024). Analysis of Categorical Data with R, 2nd edition. CRC Press.

Bilder, C., Hitt, B., Biggerstaff, B., Tebbs, J., and McMahan, C. (2023). binGroup2: Statistical tools for infection identification via group testing. The R Journal 15, 21-36.

Bilder, C. (2020). In or out? The new flagstick dilemma for putting in golf. Chance 33, 56-61.

Bilder, C., Tebbs, J., and McMahan, C. (2019). Informative group testing for multiplex assays. Biometrics 75, 278-288.

Hou, P., Tebbs, J., Bilder, C., and McMahan, C. (2017). Hierarchical group testing for multiple infections. Biometrics 73, 656-665.

Tebbs, J., McMahan, C., and Bilder, C. (2013). Two-stage hierarchical group testing for multiple infections with application to the Infertility Prevention Project. Biometrics 69, 1064-1073.

Bilder, C., Tebbs, J., and Chen, P. (2010). Informative retesting. Journal of the American Statistical Association 105, 942-955.

Bilder, C. and Loughin, T. (2009). Modeling multiple-response categorical data from complex surveys. The Canadian Journal of Statistics 37, 553-570.

Bilder, C. and Loughin, T. (2004). Testing for marginal independence between two categorical variables with multiple responses. Biometrics 60, 241-248.

Tebbs, J. and Bilder, C. (2004). Confidence interval procedures for the probability of disease transmission in multiple-vector-transfer designs. Journal of Agricultural, Biological, and Environmental Statistics 9, 75-90.