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Livestream Seminar

Missing Data Using R

A 4-Day Livestream Seminar Taught by

Paul Allison
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom.
10:30am-12:30pm ET (New York time): Live session via Zoom
1:30pm-3:00pm ET: Live session via Zoom
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If you’re using conventional methods for handling missing data, you may be missing out. Conventional methods for missing data, like listwise deletion or regression imputation, are prone to three serious problems:

  • Inefficient use of the available information, leading to low power and Type II errors.
  • Biased estimates of standard errors, leading to incorrect p-values.
  • Biased parameter estimates, due to failure to adjust for selectivity in missing data.

More accurate and reliable results can be obtained with maximum likelihood or multiple imputation.

Although these newer methods for handling missing data have been around for more than two decades, they have only become practical with the introduction of widely available and user friendly software.

Starting May 10, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. Participants are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if they are unable to attend at the scheduled time.

*We understand that scheduling is difficult during this unpredictable time. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.

Closed captioning is available for all live and recorded sessions.

More details about the course content

Computing

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"This is an excellent class that will provide you with hands-on knowledge..."

“This is an excellent class that will provide you with hands-on knowledge in applying missing-data methods, particularly in regression analysis.  After finishing the class, you will understand how to implement all of the major methods using contemporary software, along with the assumptions being made for each method.”

Terry Kissinger

FDIC

"...the rather complex issues with missing data have become much clearer to me..."

“Thanks to this interactive online course, the rather complex issues with missing data have become much clearer to me – both from a theoretical and practical point of view. The class was a perfect combination of lectures, practice, reading suggestions, and time to ask questions. Paul Allison is an expert on the topic and an excellent teacher. I highly recommend his course to anyone who deals with surveys on a regular basis. It’s fun to participate and you will definitely learn a lot!”

Maria Hagl

IDEX, Université Grenoble Alpes

"Great instructor and an excellent course..."

“Great instructor and an excellent course which was not rushed. Very useful. For me personally, sitting on the other side of the world (Australia) and having access to this excellent course is superb. While I cannot attend most of the course in real-time because of time-zone differences, I am still playing back the Zoom videos and taking notes.”

Siva Namachivayam

Royal children's Hospital Melbourne

"I now feel prepared to tackle the analysis I’ve been avoiding after this course..."

“I’ve been struggling with how to deal with missing data in an analysis and have been putting off that analysis because of this. I had some missing data techniques training in grad school, but it was super helpful to have an in-depth review of strategies for handling missing data in this short course. I now feel prepared to tackle the analysis I’ve been avoiding after this course, especially how to handle categorical variables and interactions. I highly recommend this course!”

Sylvia Badon

Kaiser Permanente

"...running the code live and going through the output was very helpful."

“The sessions were well structured and the exercises in the lectures and labs tied nicely with the lesson. In particular, running the code live and going through the output was very helpful.”

K Gordon

Yale University