Propensity Score Methods with R
Donna Coffman teaches you propensity score estimation with R in this on-demand course
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
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.
Tax-exempt institutions in the United States, please start here.
Propensity Score Methods with R is available for immediate access. Please contact us if you need an invoice prior to purchase or have a larger group.
Payment is accepted by credit card, Paypal, or bank transfer (euros & GPB). Bank transfer instructions are here.
Group licenses provide the lowest per-person cost.
Further discounts are available for researchers working in LMICs; apply here to get started.
Individual: Student/Post Doc
Professional
Lab | Up to 6 Users
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euros (EU & SEPA only) |
GBP (UK only) |
Student/Postdoc: €275 Professional: €329 Group: €1055 Account holder: QuantFish LLC BIC/SWIFT: TRWIBEB1XXX IBAN: BE20 9672 6025 0356 Address: Avenue Louise 54, Room S52 Brussels 1050 Belgium The following information is required to ensure proper enrollment:
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Student/Postdoc: £229 Professional: £275 Group: £878 Account holder: QuantFish LLC Sort code: 23-14-70 Account number: 87960744 IBAN: Address:
56 Shoreditch High Street, London E1 6JJ, United Kingdom The following information is required to ensure proper enrollment:
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This course is for learners with a foundational knowledge of linear and logistic regression analysis. Prior experience with R is not required.
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.
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.
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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.