Ghement Statistical Consulting Company
|Home > Training > Advanced R Workshop - December 1 and 2, 2011|
Advanced R Workshop - December 1 and 2, 2011
We are pleased to announce the workshop "Advanced Statistical Modeling Using the Statistical Software Package R" on Thursday and Friday, December 1 and 2, 2011. This workshop is ideal for participants who want to expand their statistical modeling skills using R.
What is R?
R is a free, powerful, open source software package with extensive statistical computing and graphics capabilities, which can be used to explore and analyze data. R shares many of its strong points with its commercial competitor S-PLUS. In addition to providing a comprehensive suite of conventional statistical tools, R has many freely available add-in packages which can be used to carry out more specialized statistical tasks. More information on R can be found on the website www.r-project.org.
Day 1 on Thursday December 1st focuses on the use of R for linear regression modeling. You will learn appropriate R commands for building simple and multiple linear regression models and performing estimation and prediction on the basis of these models. By the end of Day 1 you will master the commands needed to perform simple and multiple linear regression analyses in R and be able to interpret the resultant R output.
Day 2 on Friday December 2nd is more advanced and deals with the use of R for building a range of advanced statistical models, including generalized linear models, generalized additive models, mixed effects models, ANOVA models, time series models and multivariate data models. You will learn appropriate commands for model selection, model fitting, model validation and model inference in various settings and become familiar with the interpretation of the corresponding R output. By the end of Day 2 you will be able to use R to solve a variety of advanced statistical modeling problems.
Benefits to Participants
After Day 1, you will be able to:
After Day 2, you will be able to:
This workshop is limited to 16 participants and consists of a series of short lectures and demonstrations followed by hands-on, interactive sessions for the participants. Each participant is provided with:
The workshop is led by Dr. Isabella Ghement. Isabella obtained her Ph.D. in Statistics from the University of British Columbia (UBC) in 2005. Isabella has presented numerous public and private workshops on the statistical software package R to graduate students, researchers and others working in areas such as medical research, environmental and ecological research, biological research, fisheries research, forestry research, and so on. She also lectures part-time on advanced statistics at the Sauder School of Business, UBC and is actively engaged in statistical consulting through her company Ghement Statistical Consulting Company. Isabella co-authored the following publications based on her Ph.D. work on nonparametric regression: "Seasonal Confounding and Residual Correlation in Analyses of Health Effects of Air Pollution" (Environmetrics. 2007; 18(4): 375-394) and "Robust estimation of error scale in nonparametric regression models" (Journal of Statistical Planning and Inference. 2008; 138(10): 3200-3216). Most recently, Isabella has acquired statistical expertise in the field of mixed treatment comparisons, a generalization of meta-analytic methods allowing for the comparison of multiple medical interventions with respect to their efficacy and safety. In this field, Isabella has co-authored publications such as "Incorporating multiple interventions in meta-analysis: an evaluation of the mixed treatment comparison with the adjusted indirect comparison" (Trials 2009, 10:86 doi:10.1186/1745-6215-10-86), "Estimating the Power of Indirect Comparisons: A Simulation Study" (PLoS ONE 6(1): e16237. doi:10.1371/journal.pone.0016237) and "Multiple treatment comparison meta-analyses: a step forward into complexity" (Clinical Epidemiology. 2011; 3: 193-202).
Participants should bring a laptop computer pre-installed with the free R software. Detailed instructions for downloading and installing R are available on our website at www.ghement.ca/Rinstructions.html.
Upon request, we can provide a computer for you to use during the workshop for an additional cost of $100.00 plus HST per participant per day.
Downtown Vancouver in the new British Columbia Institute of Technology (BCIT) Building, 555 Seymour Street, Vancouver, B.C.
Dates and Times
Dates: December 1 and 2, 2011.
Registration: On both days, workshop registration begins at 8:30 a.m.
Times: The workshop starts at 9:00 a.m. and ends at 4:30 p.m. on each day.
The attendance fee for each day of the workshop is $245.00 per day plus HST per participant and includes a bound copy of the Workshop Notes, a CD-ROM containing all workshop examples and exercises, a variety of handouts and 30 days of free workshop-related technical support following the workshop. The attendance fee also includes morning and afternoon coffee, tea and snacks.
If you would like us to provide a computer for you to use during the workshop please add $100.00 plus HST per participant per day.
Please click here to download the registration form. For additional attendees, please duplicate the registration form.