University of Oxford: Statistical Computing with R and Stata
1 April – 31 May 2019
Rewley House, 1 Wellington Square, Oxford, UK
Register HERE https://www.conted.ox.ac.uk/courses/statistical-computing-for-r-and-stata
Complement your statistical skills with expert methods in R and Stata
Learn to programme statistical packages in order to complement statistical skills with advanced techniques. In each of the two statistical packages, students begin with 20 essential commands and progress towards computer-intensive statistical methods such as simulation, advanced regression modelling techniques, multiple imputation, cross-validation and bootstrapping.
The overall aim of this module is to enable students:
• To gain confidence in two high-level professional statistics packages
• Learn fundamental programming techniques such as loops, and apply them in contexts such as Monte-Carlo simulation power calculations
• To have an introductory view of Bayesian statistical modelling
• To gain an overview of statistical learning methods (“machine learning”, or “algorithms” in the popular press)
Admissions criteria:
Students should have familiarity with basic statistical concepts (p-value; mean, standard deviation, standard error, confidence interval, normal distribution) and the essential methods used by medical statisticians such as linear, logistic regression and Cox regression.
This course is delivered and assessed wholly online over an intensive 8 weeks.
The course is coordinated by Dr Jason Oke, a senior statistician at the Department of Primary Care Health Sciences, Oxford. His research interests are in cancer diagnostics, evaluating monitoring and screening programmes.
Full details and information on how to apply can be found on the course webpage - https://www.conted.ox.ac.uk/courses/statistical-computing-for-r-and-stata
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