Analysis of Cost Data – February 2022

Event Phone: 1-610-715-0115

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A 3-Day Livestream Seminar Taught by Henry Glick, Ph.D.

Cost data are typically non-normally distributed with skewed long heavy right tails and peakedness that differ from normal distributions. 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.

Venue: