MEDR5145M
Module Reading List

You don't really need a text book, but if you want one, I'd look at a couple in the library before buying. The core reader (Dupont) is a really good book that covers everything in this module and more. It is available online for free through the library. An alternative is (Kirkwood & Sterne). Both books include examples using Stata software. For the super keen, the full reading list is given below, but this is more to supplement your learning rather than replace it:

Core reading:

Dupont, W.D. (2009) Statistical modeling for biomedical researchers: a simple introduction to the analysis of complex data. 2nd ed. Cambridge: Cambridge University Press.  

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Other useful texts:

Acock, A. (2016) A Gentle Introduction to Stata. 5th ed. College Station, Texas: Stata Press.

Altman, D.G. (2007) Practical statistics for medical research. 3rd ed. London: Chapman & Hall.

Bland, J.M. & Altman, D.G. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. ISSN: 0140-6736; 1474-547X; 1986; i: 307-10.

Bland, J.M. & Altman, D.G. Multiple significance tests: the Bonferroni method. British medical journal. ISSN: 0959-8138; 1468-5833; 0959-8146; 0959-8154; 0959-535X; 1756-1833; 1995; 310: 170.

Hamilton, L.C. (2013) Statistics with Stata: version 12. 8th ed. Brooks Cole.

Juul, S. & Frydenberg, M. (2014) An Introduction to Stata for Health Researchers. 4th ed. College Station, Texas: Stata Press.

Kirkwood BR, Sterne JAC. Essential medical statistics ISBN: 0865428719. 2nd ed. Oxford: Blackwell Science, 2003.

Kleinbaum, D.G. Logistic regression : a self-learning text. New York: Springer, 1994.

Kleinbaum, D.G. Survival analysis: a self-learning text. New York: Springer, 2012.

Rabe-Hesketh, S. & Everitt, B.S. A handbook of statistical analyses using Stata. 4th ed. London: Chapman & Hall; 2006.

This list was last updated on 27/11/2020