This space will be used to communicate with students in the Introduction to Biological Statistics Course. Here, you will find copies of lecture materials, exercises and other relevant resources. For more information, contact Nathaniel Pope at npope@coa.edu, spncrfx@gmail.com, or Nichole Bennett at nichole.lynn.bennett@gmail.com.

The goal of this workshop is to provide graduate students early in their studies with a broad set of statistical tools which can be applied to future research problems. The workshop focuses on statistical analysis in R, and we provide basic R instruction for beginners. Past workshops have included broad overviews and workable examples of the following types of analysis: linear models and model fitting, time series analysis, spatial statistics, phylogenetics, population genetics, population dynamics and principal components analysis. This workshop is not meant replace formal course work in statistics. Instead, it provides participants with a foundation of knowledge that can be built upon by future study.

An annotated list of Statistics Resources is available on Google Drive.

This course meets Fridays 1-2:30 pm in GDC 7.514 .

Prerequisite R knowledge assumed for statistics topics lectures:

If you're attending any of the specific statistics topics lectures, we expect that you have a good understanding of the material presented in the first three weeks of class. We also expect that you can do the following in R: access help files for functions, load data, and install R packages. If you need extra practice/instruction in loading data or installing packages, we have the following cheat sheets for you. 

Install and Load R Packages

Load Data

 

WeekDateTopicInstructor
18/29Probability and Statistics RefresherNichole Bennett
29/5Introduction to R ProgrammingNichole Bennett/ Nate Pope
39/12Linear ModelsNate Pope
49/19Generalized Linear ModelsNate Pope
59/26Mixed ModelsNate Pope
610/3Bayesian StatisticsNate Pope/ Nichole Bennett
710/10Cautions in Using Frequentist StatisticsMartha Smith
810/17Spatial StatisticsJennifer Miller
910/24qPCR analysisRayna Harris
1010/31Missing DataMike Daniels
1111/7Data Manipulation/VisualizationSean Maguire
1211/14Population GeneticsAntonio Castilla
1311/21Network ModelingAmanda Perofsky
 11/28NO CLASS (Thanksgiving Holiday) 
1412/5Multivariate StatisticsElizabeth Milano

Creative Commons License
Peer-led Introduction to Biological Statistics by https://wikis.utexas.edu/display/CCBB/Introduction+to+Biological+Statistics+Course is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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