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Biostatistics with R: An Introduction to Statistics Through Biological Data Babak Shahbaba
Publisher: Springer

Its major weakness is that it does not have canned problem sets included for using R. Computer room 112 – Acacias 1. I am chairing a committee to completely revamp my department's introductory biostatistics course. Biostatistics with R: An Introduction to Statistics Through Biological Data. But I'd still use this textbook to teach an introduction to stats course and then create the R exercises myself. It's great for troubleshooting data that break the assumptions of the common tests, i.e., just about all biological data. Example: Using quantiative data in research (films may require Flash player plugin.) If you do not have any experience with the software package you will be using for the practicals (your choice of MLwiN, R or Stata), then we recommend that you work through the Practical section of Module 3 for that software package, to familiarise . As with the Explains essential statistical tools for the ecologist; Includes detailed case studies describing how to choose the most appropriate analysis; Uses the R statistical program throughout His work involves him in a number of environmental and wildlife biology projects. The aim of these half day courses is to provide to scientists the necessary statistical and computer tools enabling them to properly and efficiently analyse their data. Two sessions: Wednesday, April 24 and Tuesday, April 30 13 h 30 – 17 h 30. 4-hour practical course given by the BioSC. The STEPS consortium has developed problem-based modules to support the teaching of Statistics in Biology, Business, Geography and Psychology. Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. Service for Biomathematical and Biostatistical Analyses – University of Geneva.