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National Institute of Environmental Health Sciences

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Your Environment. Your Health.

Who We Fund: Publication Detail

Project Title: DEVELOP AND COMMERCIALIZE THE BAYESIAN DOSE-RESPONSE MODELING SYSTEM AND SERVICES
PI: Shao, Kan
Institution: Ks And Associates, Llc
Grant Number: R42ES032642

These search results have not been confirmed by NIEHS and are therefore, not official. They are to be used only for general information and to inform the public and grantees on the breadth of research funded by NIEHS.

Viewing 6 publications
Export to Excel (http://www.niehs.nih.gov//portfolio/index.cfm?do=portfolio.grantpubdetail&&grant_number=R42ES032642&format=excel)
Publication Title Authors Grant Number(s) Journal (Pub date) PubMed Link Pub Year
Benchmark dose modeling for epidemiological dose-response assessment using prospective cohort studie ...   De Pretis, Francesco; Zhou, Yun; Xun, Pengcheng; Shao, Kan K25ES030402, R42ES032642 Risk Anal (2024 Apr) 37496455 Exiting the NIEHS site 2024 
Advancing probabilistic risk assessment by integrating human biomonitoring, new approach methods, an ...   Lu, En-Hsuan; Grimm, Fabian A; Rusyn, Ivan; De Saeger, Sarah; De Boevre, Marthe; Chiu, Weihsue ... P30ES029067, P42ES027704, P42ES027704, R42ES032642 Environ Int (2023 Dec) 38000237 Exiting the NIEHS site 2023 
Beyond the cancer slope factor: Broad application of Bayesian and probabilistic approaches for cance ...   Jang, Suji; Shao, Kan; Chiu, Weihsueh A P30ES029067, P42ES027704, P42ES027704, R42ES032642 Environ Int (2023 May) 37182419 Exiting the NIEHS site 2023 
The Effect of Historical Data-Based Informative Prior on Benchmark Dose Estimation of Toxicogenomics ...   Ji, Chao; Shao, Kan R42ES032642 Chem Res Toxicol (2023 Aug 21) 37494567 Exiting the NIEHS site 2023 
A computational system for Bayesian benchmark dose estimation of genomic data in BBMD.   Ji, Chao; Weissmann, Andrew; Shao, Kan R42ES032642 Environ Int (2022 Mar) 35151117 Exiting the NIEHS site 2022 
Using Prior Toxicological Data to Support Dose-Response Assessment─Identifying Plausible Prior Distr ...   Shao, Kan; Ji, Chao; Chiu, Weihsueh A P42ES027704, P42ES027704, R42ES032642 Environ Sci Technol (2022 Nov 15) 36279400 Exiting the NIEHS site 2022 
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