REFERENCES
- Dillman, D.A., Smyth, J.D., and Christian, L.M. (2009), Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method (3rd ed.), Hoboken, NJ: Wiley.
- Kish, L. (1995), Survey Sampling, Hoboken, NJ: Wiley.
- Lumley, T. (2010), Complex Surveys: A Guide to Analysis Using R, Hoboken, NJ: Wiley.
- Thompson, S. K. (2012), Sampling, 3rd Ed., Hoboken, NJ: Wiley.
REFERENCES
- Browne, W.J., Draper, D. (2006), A Comparison of Bayesian and Likelihood-based Methods for Fitting Multilevel Models, Bayesian Analysis, 1, 473–514.
- Clayton, D., and Hills, M. (1993), Statistical Models in Epidemiology, Oxford, UK: Oxford University Press.
- Congdon, P. (2003), Applied Bayesian Modelling, Chichester, UK: Wiley.
- Congdon, P. (2005), Bayesian Models for Categorical Data, Chichester, UK: Wiley.
- Congdon, P. (2006), Bayesian Statistical Modelling, Chichester, UK: Wiley.
- Congdon, P. (2010), Applied Bayesian Hierarchical Methods, Boca Raton, FL: CRC Press.
- Gelman, A. (2006), Prior Distributions for Variance Parameters in Hierarchical Models” (comment on article by Browne and Draper), Bayesian Analysis, 1, 515–534.
- Greenland, S., Pearl, J., Robins, J.M. (1999), Causal Diagrams for Epidemiologic Research, Epidemiology, 10, 37–48.
- Kahn, H.A., Sempos, C.T. (1989), Monographs in Epidemiology and Biostatistics, ” Statistical Methods in Epidemiology, New York: Oxford University Press.
- Khoury, M.J., Lam, T.K., Ioannidis, J. P.A., Hartge, P., Spitz, M.R., Buring, J.E., Chanock, S.J., Croyle, R.T., Goddard, K.A., Ginsburg, G.S., et al. (2013), Transforming Epidemiology for 21st Century Medicine and Public Health, Cancer Epidemiology Biomarkers & Prevention, 22, 508–516.
- Lambert, P.C., Sutton, A.J., Burton, P.R., Abrams, K.R., Jones, D.R. (2005), How Vague is Vague? A Simulation Study of the Impact of the Use of Vague Prior Distributions in MCMC Using Winbugs, Statistics in Medicine, 24, 2401–2428.
- Lesaffre, E., and Lawson, A.B. (2012), Bayesian Biostatistics, Chichester, UK: Wiley.
- Lunn, D., Jackson, C., Best, N., Thomas, A., and Spiegelhalter, D. (2012), The BUGS Book: A Practical Introduction to Bayesian Analysis, Boca Raton, FL: CRC Press.
- Lunn, D.J., Thomas, A., Best, N., Spiegelhalter, D. (2000), WinBUGS–A Bayesian Modelling Framework: Concepts, Structure, and Extensibility, Statistics and Computing, 10, 325–337.
- Rothman, K.J., Greenland, S., and Lash, T.L. (2008), Modern Epidemiology, Philadelphia, PA: Lippincott Williams & Wilkins.
- Salathé, M., Bengtsson, L., Bodnar, T.J., Brewer, D.D., Brownstein, J.S., Buckee, C., Campbell, E.M., Cattuto, C., Khandelwal, S., Mabry, P.L., et al. (2012), Digital Epidemiology, PLoS Computational Biology, 8, e1002616.
- Woodworth, G. G. (2004), Biostatistics: A Bayesian Introduction. Hoboken, NJ: Wiley-Interscience.
REFERENCES
- Koronacki, J., and Thompson, J.R. (2001), Statistical Process Control: The Deming Paradigm, Boca Raton, FL: Chapman and Hall, CRC.
- Montgomery, D.C. (2013), Introduction to Statistical Process Control ( 7th ed.), New York: Wiley.
- Ryan, T.P. (2011), Statistical Methods for Process Improvement, New York: Wiley.
REFERENCES
- Crawley, M.J. (2013), The R Book (2nd ed.), West Sussex, UK: Wiley.
- Teetor, P. (2011), R Cookbook, Sebastopol, CA: O’Reilly.
REFERENCE
- R Core Team, (2013), R: A Language and Environment for Statistical Computing, Vienna, Austria: R Foundation for Statistical Computing. Available at http://www.R-project.org.
REFERENCES
- Wickham, H. (2009), ggplot2: Elegant Graphics for Data Analysis, New York: Springer.
- Xie, Y. (2013), Dynamic Documents with R and Knitr, New York: CRC Press.
REFERENCES
- Aliaga, M., Cobb, G., Cuff, C., Garfield, J., Gould, R., Lock, R., Moore, T., Rossman, A., Stephenson, B., Utts, J., Velleman, P., and Witmer, J. (2012), Guidelines for Assessment and Instruction in Statistics Education, Alexandria, VA: American Statistical Association available at, http://www.amstat.org/education/gaise.
- Scheaffer, R., Watkins, A., Witmer, J., Gnanadesikan, M., and Erickson, T. (2004), Activity-Based Statistics, Emeryville, CA: Key College Publishing.