Join Monika Wahi of DethWench Professional Services as your seminar leader for two online seminars in real-time designed to get you started analyzing health data in R!
IMPORTANT NOTE: These live online seminars demonstrate R native GUI, not RStudio. DPS does not offer seminars about RStudio.
Click on either red button below to visit my EventBrite page and sign up!
$250.00* / seminar
$250.00* / seminar
*Take Part 1, and DPS will send you a discount code for $25 off Part 2!
“BRFSS in R: Building an Analytic Dataset” will help you get your feet wet with using a publically-available dataset for designing and documenting your analysis plans, as well as using R, open source statistical software, to read in the dataset and edit it. A recent analysis shows that employers are requesting knowledge of R more often in their job announcements on Indeed.com, and job recruiters from all sectors are now looking more than ever for employees with skills in data science handling big healthcare data. Get up and running quickly with R with the help of an experienced guide – in real time!
- Explain what the BRFSS is, where to find the data, and how to use the documentation.
- Download and install the R program, along with R packages.
- Read datasets into R using the “foreign” package.
- Design an analysis using secondary data, and develop documentation to guide this analysis.
- Remove rows and columns in R, and explain how to rollback to previous versions of the dataset in the event of an error.
- Edit the dataset in R to add new columns following the guidance from the design documentation developed in the seminar.
“BRFSS in R: Logistic Regression” builds on the pre-requisite seminar in this series, “BRFSS in R: Building an Analytic Dataset”. In this seminar, we will use the analytic dataset created in the prerequisite seminar to answer the specified hypothesis through developing a logistic regression model. This seminar covers how to use the analytic dataset to develop a descriptive analysis of the sample, as well as how to use stepwise selection to fit a logistic regression model to answer the hypothesis. The seminar also shows you how to make tables and plot to present your results, and provides tips on interpretation.
- Describe the different modeling approaches, and why stepwise selection can help lead to a robust model.
- Complete a descriptive analysis of an analytic dataset, and develop a table to present the results.
- Demonstrate how to fit multiple logistic regression models and keep model metadata.
- Name at least one consideration in selecting the final logistic regression model for interpretation to answer a hypothesis.
- Explain how to present descriptive and logistic regression results, and point out important tasks associated with interpreting the results.
Don’t struggle through learning R on your own. Let us help you!
Key Features of Both Seminars
- Attend seminar from the comfort of your own home, connected through Skype
- Enjoy 3.5 hours of live instruction by a personable expert in a small, workshop format (maximum 5 learners including you)
- Instructor provides slides, example R code, instruction guides, and seminar materials prior to the seminar.
- Do you love to prepare for seminars? An optional preparation guide is also included.
- Do you have no time at all to prepare for seminars? No worries! No preparation necessary. We will go through everything in real-time during the seminar.
- Software demonstration uses open source software, R, which is publically available for no cost.
- Dataset demonstrated, the BRFSS, is also available free on the internet from the United States Centers of Disease Control and Prevention
- All attendees will receive a coupon for a free 3-month membership to LinkedIn Learning (a $90 value!)
- All attendees have the option to retake seminar unlimited times for free!
Intended Audience for Both Seminars
This seminar will be most useful for:
- Public health students, practitioners and academics
- Analysts and other data science professionals new to R or healthcare data analysis
- Graduate students who need to hone their research and analysis skills for their dissertation work
- Healthcare practitioners who want to expand their biostatistics and data analysis skills
- Managers in the business of healthcare or public health who want additional skills in data science
- SAS, STATA and SPSS users who want to try R
Prerequisite: A background in basic study design and biostatistics is necessary to understand this seminar. It is not necessary to know much about programming to get value from these seminars.
Sign up to receive updates on new online seminars!