143 related articles for article (PubMed ID: 36279400)
1. Using Prior Toxicological Data to Support Dose-Response Assessment─Identifying Plausible Prior Distributions for Dichotomous Dose-Response Models.
Shao K; Ji C; Chiu WA
Environ Sci Technol; 2022 Nov; 56(22):16506-16516. PubMed ID: 36279400
[TBL] [Abstract][Full Text] [Related]
2. The Effect of Historical Data-Based Informative Prior on Benchmark Dose Estimation of Toxicogenomics.
Ji C; Shao K
Chem Res Toxicol; 2023 Aug; 36(8):1345-1354. PubMed ID: 37494567
[TBL] [Abstract][Full Text] [Related]
3. A Web-Based System for Bayesian Benchmark Dose Estimation.
Shao K; Shapiro AJ
Environ Health Perspect; 2018 Jan; 126(1):017002. PubMed ID: 29329100
[TBL] [Abstract][Full Text] [Related]
4. Model Uncertainty and Bayesian Model Averaged Benchmark Dose Estimation for Continuous Data.
Shao K; Gift JS
Risk Anal; 2014 Jan; 34(1):101-20. PubMed ID: 23758102
[TBL] [Abstract][Full Text] [Related]
5. Effects of globally obtained informative priors on bayesian safety performance functions developed for Australian crash data.
Afghari AP; Haque MM; Washington S; Smyth T
Accid Anal Prev; 2019 Aug; 129():55-65. PubMed ID: 31108237
[TBL] [Abstract][Full Text] [Related]
6. A comparison of three methods for integrating historical information for Bayesian model averaged benchmark dose estimation.
Shao K
Environ Toxicol Pharmacol; 2012 Sep; 34(2):288-296. PubMed ID: 22647377
[TBL] [Abstract][Full Text] [Related]
7. A computational system for Bayesian benchmark dose estimation of genomic data in BBMD.
Ji C; Weissmann A; Shao K
Environ Int; 2022 Mar; 161():107135. PubMed ID: 35151117
[TBL] [Abstract][Full Text] [Related]
8. Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose-Response Uncertainty.
Wheeler MW; Blessinger T; Shao K; Allen BC; Olszyk L; Davis JA; Gift JS
Risk Anal; 2020 Sep; 40(9):1706-1722. PubMed ID: 32602232
[TBL] [Abstract][Full Text] [Related]
9. Quantal Risk Assessment Database: A Database for Exploring Patterns in Quantal Dose-Response Data in Risk Assessment and its Application to Develop Priors for Bayesian Dose-Response Analysis.
Wheeler MW; Piegorsch WW; Bailer AJ
Risk Anal; 2019 Mar; 39(3):616-629. PubMed ID: 30368842
[TBL] [Abstract][Full Text] [Related]
10. Bayesian Estimation with Informative Priors is Indistinguishable from Data Falsification.
García-Pérez MÁ
Span J Psychol; 2019 Oct; 22():E45. PubMed ID: 31640834
[TBL] [Abstract][Full Text] [Related]
11. An investigation of non-informative priors for Bayesian dose-response modeling.
Wheeler MW
Regul Toxicol Pharmacol; 2023 Jun; 141():105389. PubMed ID: 37061082
[TBL] [Abstract][Full Text] [Related]
12. Bayesian model-averaged benchmark dose analysis via reparameterized quantal-response models.
Fang Q; Piegorsch WW; Simmons SJ; Li X; Chen C; Wang Y
Biometrics; 2015 Dec; 71(4):1168-75. PubMed ID: 26102570
[TBL] [Abstract][Full Text] [Related]
13. Constructing Relative Effect Priors for Research Prioritization and Trial Design: A Meta-epidemiological Analysis.
Glynn D; Nikolaidis G; Jankovic D; Welton NJ
Med Decis Making; 2023 Jul; 43(5):553-563. PubMed ID: 37057388
[TBL] [Abstract][Full Text] [Related]
14. Bootstrap estimation of benchmark doses and confidence limits with clustered quantal data.
Zhu Y; Wang T; Jelsovsky JZ
Risk Anal; 2007 Apr; 27(2):447-65. PubMed ID: 17511711
[TBL] [Abstract][Full Text] [Related]
15. Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data.
Shao K; Zhou Z; Xun P; Cohen SM
Toxicology; 2021 May; 455():152752. PubMed ID: 33741492
[TBL] [Abstract][Full Text] [Related]
16. Part 2. Development of Enhanced Statistical Methods for Assessing Health Effects Associated with an Unknown Number of Major Sources of Multiple Air Pollutants.
Park ES; Symanski E; Han D; Spiegelman C
Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):51-113. PubMed ID: 26333239
[TBL] [Abstract][Full Text] [Related]
17. Benchmark dose modeling for epidemiological dose-response assessment using prospective cohort studies.
De Pretis F; Zhou Y; Xun P; Shao K
Risk Anal; 2024 Apr; 44(4):743-756. PubMed ID: 37496455
[TBL] [Abstract][Full Text] [Related]
18. A Method for Constructing Informative Priors for Bayesian Modeling of Occupational Hygiene Data.
Quick H; Huynh T; Ramachandran G
Ann Work Expo Health; 2017 Jan; 61(1):67-75. PubMed ID: 28395307
[TBL] [Abstract][Full Text] [Related]
19. Determining informative priors for cognitive models.
Lee MD; Vanpaemel W
Psychon Bull Rev; 2018 Feb; 25(1):114-127. PubMed ID: 28194721
[TBL] [Abstract][Full Text] [Related]
20. Bayesian road safety analysis: incorporation of past evidence and effect of hyper-prior choice.
Miranda-Moreno LF; Heydari S; Lord D; Fu L
J Safety Res; 2013 Sep; 46():31-40. PubMed ID: 23932683
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
