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

Louise Larissa May De Mio

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