Special Topics IV -Advanced Analysis in Epidemiology Using R
Level
Master/Doctoral
Credits
04 (60 h)
Content:
Apply the R program to test and develop tools applied for use in epidemiology for disease management in plants
with specific topics of interest to teachers, researchers and students.
Professor
Walmes Marques Zeviani
References
BUSSAB, W & MORETTIN, P. Estatística Básica. Saraiva. 9a edição (2017).
LOGAN, M. (2010). *Biostatistical Design and Analysis Using R*. Wiley-Blackwell.
MADDEN, L.V.; HUGHES, G.; VAN DEN BOSCH, F. The study of plant disease epidemics. St. Paul: APS Press, 2007. 421p.
NEWMAN, S. C. (2001). Biostatistical Methods in Epidemiology*(1st ed.). Wiley-Interscience.
RITZ, C., & STREIBIG, J. C. (2008). Nonlinear regression with R (1st ed., p. 142). New York: Springer.
TWISK, J. W. R. (2003). Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide (1st ed.). Cambridge University Press.
VIRASAKDI, C. (2008). Analysis of epidemiological data using R and Epicalc. Chanmuang Press. https://cran.r-project.org/doc/contrib/Epicalc_Book.pdf