Short Course: Data Analysis using R
Department of Mathematical Sciences and Proficio programme of the University of Essex (UoE)
The introductory R course covers basic statistical concepts and briefly explains theoretical backgrounds. The open-source software package R (www.r-project.org) is introduced as a versatile tool to use these concepts for data analysis with a focus on biomedical applications.
Target Audience: Postgraduate students; Continuous professional development (CPD).
Date: 01 October 2012 05 October 2012
Fees: £660 (academic; non UoE PhD student); £964 (commercial); £330 (UoE PhD student)
Registration by email [log in to unmask] by 15 September 2012 (Limited number of places!)
Lecturers:
Dr Werner Adler (University of Erlangen-Nuremberg; Co-author of R-packages Daim and survAUC);
Dr Benjamin Hofner (University of Erlangen-Nuremberg; Author of R-packages gamboostLSS and CoxFlexBoost; Co-author of R-package mboost)
Course contents:
Day 1: Introduction to R (9.30am - 1pm course, 2.30pm-5pm lab)
Concepts of R (graphical user interface (GUI), editors, work flow, help system)
Basic Programming (objects, functions, vectors, matrices, data sets)
Examples and Hands-on Training
Day 2: Introduction to Statistics & Graphics (9.30am - 1pm course, 2.30pm-5pm lab)
Data Management
Descriptive Statistics
Graphics
Examples and Hands-on Training
Day 3: Diagnostic and Statistical Tests (9.30am - 1pm course, 2.30pm-5pm lab)
Diagnostic Tests (quality of diagnostic tests, ROC analysis)
Statistical Tests (binomial test, one-sample t-test, one-sample Wilcoxon signed-rank test, independent two-sample t-test, Mann-Whitney U test, two-sample t-test for paired samples, Wilcoxon signed-rank test [for dependent samples], Χ2-test, logrank test)
Examples and Hands-on Training
Day 4: Regression Analysis (9.30am - 1pm course, 2.30pm-5pm lab)
Linear Regression Models (incl. model diagnostics and variable selection)
ANOVA (incl. prognosis and model diagnostics)
Logistic Regression (short outlook)
Examples and Hands-on Training
Day 5: (optional 9.30am - 1pm lab)
Optional discussion of statistical data analysis issues of participants
Examples and Hands-on Training
Course Prerequisites: Interest in statistical data analysis, basic statistical knowledge
Further Reading:
Adler, J. 2010: R in a nutshell; OReilly.
Dalgaard, P. 2002: Introductory Statistics with R; Springer.
Everitt, B.S. and Hothorn, T. 2006: A Handbook of Statistical Analysis using R; Chapman & Hall.
Kabacoff, R.I. 2011: R in Action - Data Analysis and Graphics with R; Manning Publications Co.
Venables, W.N. and Ripley, B.D. 2002: Modern Applied Statistics with S; Springer.
Verzani, J. 2002: simpleR Using R for Introductory Statistics;
URL: http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf
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Direct train connections from London-Liverpool Street to Wivenhoe station (about 60-70 minutes)
for example http://ojp.nationalrail.co.uk/service/timesandfares/LST/WIV/011012/0800/dep/011012/1730/dep
UoE maps under http://www.essex.ac.uk/about/getting_here/colchester/maps.aspx
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IF you want to register, please fill in following form and email the form to [log in to unmask] by 15 September 2012
Limited number of places. Payment must be received within 10 days after the registration is confirmed.
Name:
Affiliation:
email:
phone:
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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