Ghement Statistical Consulting Company Ltd.
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A Basic Course in Statistical Data Analysis Using R
We are pleased to announce the 3-day course "A Basic Course in Statistical Data Analysis Using R" on May 4 - 6, 2016 in Vancouver, British Columbia, Canada. This course is intended for novice R users who would like to learn how to perform statistical data analyses in R or for intermediate R users who would like to consolidate their understanding of how R operates. Both types of users will benefit from the review of statistical concepts covered during the course.
If you are interested in attending this course, would like to receive further details and be added to the list of participants, please e-mail the course instructor, Dr. Isabella Ghement, at firstname.lastname@example.org or call her at 604-767-1250.
Alternatively, if you would like us to offer this course privately at your premises or provide you with information on our other course offerings, please let us know.
Day 1 of the course will cover data import/export, data summarization and data visualization with ggplot2.
Day 2 of the course will cover hypothesis testing, basic statistical analyses and automated reporting.
Day 3 of the course will cover data cleaning, data manipulation and basic elements of R programming.
On Day 1, we will discuss the following topics:
On Day 2, we will discuss the following topics:
On Day 3, we will discuss the following topics:
Benefits to Participants
By the end of the course, participants will have a working knowledge of R. In particular, participants will be able to:
This course is limited to 18 participants and consists of a series of short lectures and demonstrations followed by hands-on, interactive sessions for the participants. Each participant will be provided with:
The course 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/courses on the statistical software package R to researchers, graduate students, government agencies and corporations in Canada. She also lectured part-time on advanced statistics at the Sauder School of Business, UBC between 2005 and 2012. Isabella is actively engaged in statistical consulting through her company Ghement Statistical Consulting Company Ltd. Her statistical consulting clients include federal and provincial government agencies, contract research organizations and academic researchers. 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 have a basic knowledge of statistics.
Participants should bring a laptop computer pre-installed with the open-source R software and its user-friendly interface R Studio.
R can be installed from http://cran.stat.sfu.ca and R Studio can be installed from http://www.rstudio.org.
In addition to R and R Studio, participants will be required to install several R packages on their laptops. Instructions on R package installation will be distributed to participants approximately one week prior to the course.
The course registration form is available for download via the following links:
To register for this course, please complete and sign the above registration form and send it to us by e-mail at email@example.com or fax it to us at 604-270-3922 by the registration deadline of April 18, 2016.
Downtown Vancouver in the new British Columbia Institute of Technology (BCIT) Building, Room 830, 555 Seymour Street, Vancouver, British Columbia. (This course is not affiliated with BCIT.)
You can use the links below to plan your visit to the BCIT Downtown Campus:
Dates and Times
Dates: May 4, 5 and 6, 2016 (Wednesday, Thursday and Friday)
Registration: On all days, course registration and set-up begin at 8:30am.
Time: The course starts at 9:00am and ends at 5:00pm on each day.
The attendance fee for the course is $885.00 plus 5% GST per participant and includes a bound copy of the Course Notes, a CD-ROM containing all course examples and exercises and 30 days of free course-related technical support following the course. The attendance fee also includes morning and afternoon coffee, tea and snacks.
Groups of 3 or more participants from the same organization receive a 10% discount.