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Modern Statistics for the Life Sciences
Alan Grafen and Rosie Hails
- Teaches the reader the language of model formulae, universally employed by statisticians today, and found in all computer statistics packages.
- Employs General Linear Models (GLMs), powerful tools to analyse data using a large array of methods at the same time.
- Gives a firm conceptual grounding in GLMs, allowing statistics to be presented as a meaningful whole and enabling more material to be analysed in a given period of time.
- Written to enable students to work through the text using the statistical language of their choice.
- A companion website provides a wealth of worked exercises in the three statistical languages Minitab, SAS, and SPSS.
- Focuses on concepts required by life sciences students using statistics (e.g. marginality, random effects, multiplicity) instead of those required by mathematics students inventing them (e.g. sufficiency, theory of distributions, mathematical proofs).
- Graphics are used to explain key concepts in a visual way, enabling students to understand ideas more easily.