
Christopher Bilder
Professor Statistics University of Nebraska-Lincoln
Contact
- Address
-
HARH 342C
Lincoln NE 68583-0963 - Phone
-
-
- Website
-
Education
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.