Expert Training in R.
From Anywhere, Any Time.

In this self-paced online workshop, Dr. Donna Coffman provides step-by-step instructions on propensity score estimation in R. Here's what's included in the course:

  • How to define and estimate causal effects using the potential outcomes framework

  • How to use propensity scores to estimate causal effects

  • How to assess the validity of key assumptions needed to draw causal inferences from observational data

  • Propensity score estimation for a binary treatment

  • Practice data, syntax, and supporting handouts

Meet Your Instructor

Dr. Donna Coffman


Donna Coffman is Associate Professor of Epidemiology and Statistics in the College of Public Health at Temple University.  Her research is focused on the development of new techniques to study causal processes.  As one of the world's foremost leaders in propensity score methods, Dr. Coffman has taught researchers worldwide to implement these techniques in their studies.  

Pricing

Propensity Score Methods with R is available to start immediately. Please contact us if you need an invoice prior to purchase or have a larger group.

Need to wait for approval from your institution?

Contact us so we can help with invoicing.

FAQ

  • What level of statistical training is required for the course?

    This course is for learners with a foundational knowledge of linear and logistic regression analysis. Prior experience with R is not required.

  • Is there a time limit for the course?

    Once you enroll and the course has launched, you will have unlimited access to the content. You are free to pause and return to your lessons as needed.

  • Will you give me feedback on my analyses?

    Unfortunately, personal feedback is not possible given the volume of researchers we serve. We are certain that Dr. Coffman's thorough approach to guiding you through every step of using R, along with the helpful handouts included in the course, will enable you to successfully perform propensity weighting techniques with your own data. Note that we here at QuantFish are always happy to help you navigate any technical issues related to the course itself.

How the Course Works

Follow these steps to get started:

  • 1. Enroll in the Course

    You will receive a payment receipt by email from QuantFish and instructions for accessing your Student Dashboard. Propensity Score Methods with R is available to start right away.

  • 2. Start Learning

    Begin the course when the time is right for you. Visit your student dashboard, click on the course, and watch the introductory video to get started. Subsequent lessons are shown to you in sequential order, along with the PDF resources. Plan on each module to take about two hours, plus practice time. At the completion of the course, we will provide a certificate of completion that you can use for your own professional needs.

  • 3. Share Your Success!

    The best part of our work here at QuantFish is seeing our trainees implement their newfound analytic skills in their own research. We LOVE hearing about published papers and successful defenses. Find us on Facebook or shoot us an email so we can celebrate with you!

Let's Keep in Touch

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Satisfaction Guarantee

QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists.  Propensity Score Methods with R  is backed by a complete money-back guarantee for 7 days following the start of the course.