241 related articles for article (PubMed ID: 17640214)
1. Properties of model-averaged BMDLs: a study of model averaging in dichotomous response risk estimation.
Wheeler MW; Bailer AJ
Risk Anal; 2007 Jun; 27(3):659-70. PubMed ID: 17640214
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. The benchmark dose method--review of available models, and recommendations for application in health risk assessment.
Filipsson AF; Sand S; Nilsson J; Victorin K
Crit Rev Toxicol; 2003; 33(5):505-42. PubMed ID: 14594105
[TBL] [Abstract][Full Text] [Related]
4. Parameters of a dose-response model are on the boundary: what happens with BMDL?
Kopylev L; Fox J
Risk Anal; 2009 Jan; 29(1):18-25. PubMed ID: 18808395
[TBL] [Abstract][Full Text] [Related]
5. Potential uncertainty reduction in model-averaged benchmark dose estimates informed by an additional dose study.
Shao K; Small MJ
Risk Anal; 2011 Oct; 31(10):1561-75. PubMed ID: 21388425
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Model averaging in microbial risk assessment using fractional polynomials.
Namata H; Aerts M; Faes C; Teunis P
Risk Anal; 2008 Aug; 28(4):891-905. PubMed ID: 18564995
[TBL] [Abstract][Full Text] [Related]
8. Comparing experimental designs for benchmark dose calculations for continuous endpoints.
Kuljus K; von Rosen D; Sand S; Victorin K
Risk Anal; 2006 Aug; 26(4):1031-43. PubMed ID: 16948695
[TBL] [Abstract][Full Text] [Related]
9. A simulation study of quantitative risk assessment for bivariate continuous outcomes.
Yu ZF; Catalano PJ
Risk Anal; 2008 Oct; 28(5):1415-30. PubMed ID: 18631306
[TBL] [Abstract][Full Text] [Related]
10. Model uncertainty and risk estimation for experimental studies of quantal responses.
Bailer AJ; Noble RB; Wheeler MW
Risk Anal; 2005 Apr; 25(2):291-9. PubMed ID: 15876205
[TBL] [Abstract][Full Text] [Related]
11. Toxicity value for 3-monochloropropane-1,2-diol using a benchmark dose methodology.
Hwang M; Yoon E; Kim J; Jang DD; Yoo TM
Regul Toxicol Pharmacol; 2009 Mar; 53(2):102-6. PubMed ID: 19133308
[TBL] [Abstract][Full Text] [Related]
12. A statistical evaluation of toxicity study designs for the estimation of the benchmark dose in continuous endpoints.
Slob W; Moerbeek M; Rauniomaa E; Piersma AH
Toxicol Sci; 2005 Mar; 84(1):167-85. PubMed ID: 15483190
[TBL] [Abstract][Full Text] [Related]
13. A benchmark dose analysis for sodium monofluoroacetate (1080) using dichotomous toxicity data.
Foronda NM; Fowles J; Smith N; Taylor M; Temple W
Regul Toxicol Pharmacol; 2007 Feb; 47(1):84-9. PubMed ID: 16965845
[TBL] [Abstract][Full Text] [Related]
14. Benchmark dose calculation for ordered categorical responses.
Chen CC; Chen JJ
Risk Anal; 2014 Aug; 34(8):1435-47. PubMed ID: 24444309
[TBL] [Abstract][Full Text] [Related]
15. The current state of knowledge on the use of the benchmark dose concept in risk assessment.
Sand S; Victorin K; Filipsson AF
J Appl Toxicol; 2008 May; 28(4):405-21. PubMed ID: 17879232
[TBL] [Abstract][Full Text] [Related]
16. A method to integrate benchmark dose estimates with genomic data to assess the functional effects of chemical exposure.
Thomas RS; Allen BC; Nong A; Yang L; Bermudez E; Clewell HJ; Andersen ME
Toxicol Sci; 2007 Jul; 98(1):240-8. PubMed ID: 17449896
[TBL] [Abstract][Full Text] [Related]
17. Nonparametric Bayesian methods for benchmark dose estimation.
Guha N; Roy A; Kopylev L; Fox J; Spassova M; White P
Risk Anal; 2013 Sep; 33(9):1608-19. PubMed ID: 23339666
[TBL] [Abstract][Full Text] [Related]
18. A comparison of microbial dose-response models fitted to human data.
Moon H; Chen JJ; Gaylor DW; Kodell RL
Regul Toxicol Pharmacol; 2004 Oct; 40(2):177-84. PubMed ID: 15450720
[TBL] [Abstract][Full Text] [Related]
19. Model averaging using fractional polynomials to estimate a safe level of exposure.
Faes C; Aerts M; Geys H; Molenberghs G
Risk Anal; 2007 Feb; 27(1):111-23. PubMed ID: 17362404
[TBL] [Abstract][Full Text] [Related]
20. Model averaging using the Kullback information criterion in estimating effective doses for microbial infection and illness.
Moon H; Kim HJ; Chen JJ; Kodell RL
Risk Anal; 2005 Oct; 25(5):1147-59. PubMed ID: 16297221
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
