Scholarly Works per year
Scholarly Works per year
Fingerprint
Dive into the research topics where Agriculture and Biosystems Engineering is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
Bayesian benchmark dose risk assessment with mixed-factor quantal data
Glisovic-Bensa, M., Piegorsch, W. W. & Bedrick, E. J., Aug 2024, In: Environmetrics. 35, 5, e2854.Research output: Contribution to journal › Article › peer-review
-
Accounting for extra-binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study
Aberasturi, D. T., Piegorsch, W. W., Bedrick, E. J. & Lussier, Y. A., Dec 2023, In: Stat. 12, 1, e518.Research output: Contribution to journal › Article › peer-review
-
Adjusting statistical benchmark risk analysis to account for non-spatial autocorrelation, with application to natural hazard risk assessment
Liu, J., Piegorsch, W. W., Schissler, A. G., McCaster, R. R. & Cutter, S. L., 2022, In: Journal of Applied Statistics. 49, 9, p. 2349-2369 21 p.Research output: Contribution to journal › Article › peer-review
-
Thymic and peripheral Aspects of T cell Aging and Rejuvenation
Billheimer, D. D. (PI)
Project: Research project
-
Nanoarray-Type Detection of Oct3/4 and Cdx2 using AuNPs and E-beam Patterns
Yoon, J.-Y. (PI)
6/1/07 → 5/31/10
Project: Research project
-
ENVIRONMENTAL HEALTH SCIENCES
Martinez, F. (PI), Mash, E. A. (PI), Lantz, R. C. (PI), Mayersohn, M. (PI), Tsaprailis, G. (PI), Watts, G. S. (PI), Lau, S. (PI), Mash, E. A. (PI), Lantz, C. (PI), Vercelli, D. (PI), Lindsey, M. (PI), Sipes, I. (PI), Mount, D. (PI), Cherrington, N. J. (PI), Laird, H. (PI), Liebler, D. (PI), Vercelli, D. (PI), Billheimer, D. D. (PI) & Lantz, R. C. (PI)
4/1/94 → 3/31/17
Project: Research project
Datasets
-
A pool-adjacent-violators-algorithm approach to detect infinite parameter estimates in one-regressor dose–response models with asymptotes
Deutsch, R. C. (Creator), Habing, B. (Creator) & Piegorsch, W. W. (Creator), figshare, 2014
DOI: 10.6084/m9.figshare.1145718.v1, https://figshare.com/articles/A_pool_adjacent_violators_algorithm_approach_to_detect_infinite_parameter_estimates_in_one_regressor_dose_8211_response_models_with_asymptotes/1145718/1
Dataset
-
A pool-adjacent-violators-algorithm approach to detect infinite parameter estimates in one-regressor dose–response models with asymptotes
Deutsch, R. C. (Creator), Habing, B. (Creator) & Piegorsch, W. W. (Creator), figshare, 2014
DOI: 10.6084/m9.figshare.1145718, https://figshare.com/articles/A_pool_adjacent_violators_algorithm_approach_to_detect_infinite_parameter_estimates_in_one_regressor_dose_8211_response_models_with_asymptotes/1145718
Dataset