Methods

BST 232, Methods, has the following description:

[BST 232 is an] introductory course in the analysis of Gaussian and categorical data, the general linear regression model, ANOVA, robust alternatives based on permutations, model building, resampling methods (bootstrap and jackknife), contingency tables, exact methods, logistic regression.

Course Outline:

The listed primary references are:

Secondary references:

Some online references:

References:


Agresti, Alan. 2013. Categorical Data Analysis. 3rd ed. Hoboken, NJ: Wiley.
Chatterjee, Samprit, and Ali S. Hadi. 2006. Regression Analysis by Example. 4th ed. John Wiley & Sons.
Collett, David. 2015. Modelling Survival Data in Medical Research. 3rd ed. Chapman & Hall/CRC Texts in Statistical Science. CRC Press. https://www.crcpress.com/Modelling-Survival-Data-in-Medical-Research/Collett/p/book/9781439856789.
Faraway, Julian J. 2016. Extending the Linear Model with r: Generalized Linear, Mixed Effects and Nonparametric Regression Models. 2nd ed. Boca Raton: CRC Press.
James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2013. An Introduction to Statistical Learning: With Applications in r. Springer. https://faculty.marshall.usc.edu/gareth-james/ISL/.
Kutner, Michael H., Christopher J. Nachtsheim, John Neter, and William Li. 2005. Applied Linear Statistical Models. 5th ed. Boston: McGraw-Hill Irwin.
McCullagh, P., and J. A. Nelder. 1989. Generalized Linear Models. 2nd ed. London: Chapman; Hall.
Vittinghoff, Eric, David V. Glidden, Stephen C. Shiboski, and Charles E. McCulloch. 2012. Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. 2nd ed. New York: Springer.