Areas of Expertise: Categorical data analysis, group testing, computational statistics, statistics education
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.”
American Statistical Association’s Outstanding Statistical Application Award
Consortium for the Advancement of Undergraduate Statistics Education Web Resource of the Year
Kansas State University Outstanding Graduate Teaching Assistant of the Year
National Institutes of Health award #R01AI121351 (2016-2019), 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.
Bilder, C. and Loughin, T. (2014). Analysis of Categorical Data with R. CRC Press.
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., Zhang, B., Schaarschmidt, F., and Tebbs, J. (2010). binGroup: A Package for Group Testing, The R Journal 2, 56-60.
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.