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Detailed information about our short courses

Please select from the drop down list the course you are interested in and press the Go button. This will take you to the page with the information about content, dates, timetable, a sample session and prices.

• Click to download a copy of the SSC's 2013 short course brochure or poster.

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• If you need additional information please send us an email with your enquiry
• To view our 2013 course timetable click here.

Short courses in statistics and data management from the SSC:

Statistics for University Administrators Microsoft® Excel® for Statistics? Microsoft® Excel® 2010 for Statistics? What you can and cannot do Taking Microsoft® Excel® 2010 for Statistics Further: Macros for Data Management and Statistics Advanced Excel for Students' Record Administrators Microsoft® Access® 2010 for Data Management: A Hands on Approach Data Management using CSPro: A Hands on Approach --------- A Review of Basic Statistics Regression Analysis: A Hands on Approach Statistics for Policy Makers The Incomplete and Utter Guide to Statistics Introduction to Logistic Regression A Beginner's Guide to Bayesian Methods Multivariate Analysis Design and Analysis of Experiments What Sample Size Do I Need? Introduction to Analysis of Variance (ANOVA) --------- Dose-Finding Methods for Early Phase Clinical Trials Survival Analysis for Medical & Health Professionals Advanced Topics in Survival Analysis Introduction to Epidemiological Methods Validation of Diagnostic Tests Introduction to Survival Analysis Statistical Modelling in Epidemiology --------- Practical Bayesian Data Analysis Bayesian Modeling, Inference and Prediction Models Bayesian Model Comparison and Hierarchical Modeling Modelling Binary and Categorical Repeated Measurement Data General Linear Models Analysis of Mixed Models Introduction to Capture-Recapture Techniques Repeated Measurements Analysis Multilevel Modelling Multilevel Generalised Linear Models Analysis of Generalised Linear Mixed Models --------- Statistical Modelling and Graphics using R Advanced Graphics using R Survival Analysis using R ---------

 

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