Bayesian statistical approaches to compositional analyses of transgenic crops 2. Application and validation of informative prior distributions

Regulatory Toxicology and Pharmacology

Volumn 65, Issue 2, 2013, Pages 251-258

  Harrison, Jay M ^a   Breeze, Matthew L ^b   Berman, Kristina H ^b   Harrigan, George G ^b  

^a Maritz Holdings Inc   (United States)

^b MONSANTO COMPANY   (United States)

Author keywords

Bayesian statistics; Compositional analyses; GM soybean; Informative prior distributions; Transgenic

Indexed keywords

DAIDZEIN; GENISTEIN; GLYCITEIN; OLIGOSACCHARIDE; RAFFINOSE; STACHYOSE; UNCLASSIFIED DRUG;

ARTICLE; BAYES THEOREM; CHEMICAL COMPOSITION; CONTROLLED STUDY; GROWING SEASON; HARVEST; INFORMATION PROCESSING; NONHUMAN; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SOYBEAN; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; TRANSGENIC CROP; UNITED STATES; VALIDITY;

BAYES THEOREM; CROPS, AGRICULTURAL; FOOD CONTAMINATION; FOOD SAFETY; FOOD, GENETICALLY MODIFIED; HUMANS; PLANTS, GENETICALLY MODIFIED; SOYBEANS;

GLYCINE MAX;

EID: 84872804268     PISSN: 02732300     EISSN: 10960295     Source Type: Journal    
DOI: 10.1016/j.yrtph.2012.12.002     Document Type: Article

References (33)

1. Berger J.O. Statistical Decision Theory and Bayesian Analysis 1985, Springer-Verlag, New York. second ed.
2. Berman K.H., Harrigan G.G., Riordan S.G., Nemeth M.A., Hanson C., Smith M., Sorbet R., Zhu E., Ridley W.P. Compositions of seed, forage, and processed fractions from insect-protected soybean MON 87701 are equivalent to those of conventional soybean. Journal of Agricultural and Food Chemistry 2009, 57:11360-11369.
3. Berry S.M., Carlin B.P., Lee J.J., Müller P. Bayesian Adaptive Methods for Clinical Trials 2011, CRC Press, Boca Raton, FL.
4. Brobst, K.M., 1972. Gas-liquid chromatography of trimethylsilyl derivatives. In: Methods of Carbohydrate Chemistry, vol. 6. Academic Press, New York.
5. Carlin B.P., Louis T.A. Bayesian Methods for Data Analysis 2009, CRC Press, Boca Raton, FL. third ed.
6. Christensen R., Johnson W., Branscum A., Hanson T.E. Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians 2011, CRC Press, Boca Raton, FL.
7. Cotes J.M., Crossa J., Sanches A., Cornelius P.L. A Bayesian approach for assessing the stability of genotypes. Crop Science 2006, 46:2654-2665.
8. Crossa J., Perez-Elizalde S., Jarquin D., Cotes J.M., Viele K., Liu G., Cornelius P.L. Bayesian estimation of the additive main effects and multiplilcative interaction model. Crop Science 2011, 51:1458-1469.
9. Gelman A., Carlin J.B., Stern H.S., Rubin D.B. Bayesian Data Analysis 2004, Chapman & Hall/CRC, Boca Raton, FL. second ed.
10. European Food Safety Authority (EFSA) Scientific opinion on statistical considerations for the safety evaluation of GMOs. EFSA Journal 2010, 8(1):1250.
11. Gelman A. Prior distributions for variance parameters in hierarchical models. Bayesian Analysis 2006, 1:515-533.
12. Goodman S. A dirty dozen: twelve p-value misconceptions. Seminars in Hematology 2008, 45:135-140.
13. Harrison J.M., Breeze M.L., Harrigan G.G. Introduction to Bayesian statistical approaches to compositional analyses of transgenic crops 1. Model validation and setting the stage. Regulatory Toxicology and Pharmacology 2011, 60:381-388.
14. Harrison, J.M., Culp, D., Harrigan, G.G., 2012. Bayesian MCMC analyses for regulatory assessments of food composition. Presented at Kansas State University Conference on Applied Statistics in Agriculture, Manhattan, Kansas.
15. Harrigan G.G., Harrison J.M. Assessing compositional variability through graphical analysis and Bayesian statistical approaches: case studies on transgenic crops. Biotechnology and Genetic Engineering Reviews 2012, 28:15-32.
16. Johnson N.L., Kotz S., Balakrishnan N. Continuous Univariate Distributions, vol. 1 1994, John Wiley & Sons, New York. second ed.
17. Kéry M. Introduction to WinBUGS for Ecologists 2010, Academic Press, Burlington, MA.
18. Klugkist I., Laudy O., Hoijtink H. Inequality constrained analysis of variance. A Bayesian approach. Psychological Methods 2005, 10:477-493.
19. Kruschke J.K. Doing Bayesian Data Analysis: A Tutorial with R and BUGS 2011, Academic Press, Burlington, MA.
20. Lundry D.R., Ridley W.P., Meyer J.J., Riordan S.G., Nemeth M.A., Trujillo W.A., Breeze M.L., Sorbet R. Composition of grain, forage, and processed fractions from second-generation glyphosate-tolerant soybean, MON 89788, is equivalent to that of conventional soybean (Glycine max L.). Journal of Agricultural and Food Chemistry 2008, 56:4611-4622.
21. Lunn D.J., Thomas A., Best N., Spiegelhalter D. WinBUGS - a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 2000, 10:325-337.
22. Lunn D., Jackson C., Best N., Thomas A., Spiegelhalter D. The BUGS Book: A Practical Introduction to Bayesian Analysis 2013, CRC Press, Boca Raton, FL.
23. Mason B.S., Slover H.T. A gas chromatography method for the determination of sugars in foods. Journal of Agricultural and Food Chemistry 1971, 19:551-554.
24. Ntzoufras I. Bayesian Modeling Using WinBUGS 2009, John Wiley & Sons, Hoboken, NJ.
25. OECD, 2001. Consensus document on compositional considerations for new varieties of soybean: key food and feed nutrients and anti-nutrients. Organization for Economic Co-operation and Development.
26. Pettersson H., Kiessling K.-H. Liquid chromatographic determination of the plant estrogens coumestrol and isoflavones in animal feed. Journal of Association of Official Analytical Chemists 1984, 67:503-506.
27. R Development Core Team R: A language and environment for statistical computing 2011, R Foundation for Statistical Computing, Vienna, Austria.
28. SAS Institute Inc., 2008. SAS/ETS 9.22 User's Guide. SAS Institute Inc., Cary, NC.
29. Seo A., Morr C.V. Improved high-performance liquid chromatographic analysis of phenolic acids and isoflavonoids from soybean protein products. Journal of Agricultural and Food Chemistry 1984, 32:530-533.
30. Spiegelhalter, D., Thomas, A., Best, N., Lunn, D., 2007. WinBUGS User Manual, Version 1.4.3. http://www.mrc-bsu.cam.ac.uk/bugs/.
31. Sturtz S., Ligges U., Gelman A. R2WinBUGS: a package for running WinBUGS from R. Journal of Statistical Software 2005, 12:1-16.
32. Tukey J.W. The philosophy of multiple comparisons. Statistical Science 1991, 6:100-116.
33. US FDA (Center for Devices and Radiological Health), 2010. Guidance for the use of Bayesian statistics in medical device clinical trials. US Food and Drug Administration, Rockville, MD. http://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/ucm071121.pdf.