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Livestream Seminar

Analysis of Cost Data

A 3-Day Livestream Seminar Taught by

Henry Glick
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom.

11:00am-3:00pm ET (New York time): Live lecture via Zoom
5:00pm-6:00pm ET: Live lab session via Zoom (Thursday and Friday only)

Data on costs typically have distributions that differ dramatically from the normal distribution. They are usually highly skewed to the right, with long heavy tails and high kurtosis, often with a preponderance of zeros. These characteristics often lead to violations of assumptions underlying typical univariate and multivariable tests of means such as t-tests and multiple regression analysis (OLS). Both appropriate and inappropriate methods have been proposed to overcome these violations.

This seminar assesses a number of these methods for analyzing costs and enables researchers to evaluate which methods may be more or less appropriate for the analysis of cost data. We will cover:

  • Univariate statistics
  • OLS/Log OLS
  • Generalized linear models
  • Generalized estimating equations and Extended estimating equations
  • Models and methods for addressing missing data
  • Constructing the cost outcome
  • Addressing cost over time
  • Sample size and power

The style of instruction is designed for participants coming from a variety of different subject-matter backgrounds. Examples will be presented using the Stata software package.

Starting February 24, we are offering this seminar as a 3-day synchronous*, livestream workshop. Each day will consist of a 4-hour live lecture held via the free video-conferencing software Zoom. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

Each day will include a hands-on exercise to be completed on your own after the lecture session is over. An additional lab session will be held Thursday and Friday afternoons, where you can review the exercise results with the instructor and ask any questions.

*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.

Computing

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Seminar outline

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"I highly recommend this in-depth course on how best to analyze cost data..."

“I highly recommend this in-depth course on how best to analyze cost data. A thorough series of seminars with excellent, comprehensible explanation of concepts, examples, and statistical analysis code.”

Nikki McCaffrey

Deakin University

"The material was interesting and new..."

“The material was interesting and new for me. Dr. Glick was very accomodating and willing to spend time to reinforce concepts and provided additional lab time.”

Anonymous 

Seminar Student

“I appreciated the clear and thorough Stata codes provided...”

“I appreciated the clear and thorough Stata codes provided. The whole course was very nice and clear, even without any previous knowledge about GLM (or cost analysis). Thank you!”

Anonymous

Seminar Student