Estimation of mean health care costs and incremental cost-effectiveness ratios with possibly censored data

Shuai Chen, Jennifer Rolfes, Hongwei Zhao

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

In this article, we describe the hcost program for estimating mean health care costs and incremental cost-effectiveness ratios with possibly censored data. hcost estimates the mean survival time and the mean costs, as well as their variances and covariance, for a given time horizon. If the group variable is specified, hcost will report the differences between two groups, as well as the incremental cost-effectiveness ratio and its confidence interval (optional). hcost can estimate the mean costs using two methods corresponding to different types of data: the Bang and Tsiatis (2000, Biometrika 87: 329-343) estimator using only the total costs or the Zhao and Tian (2001, Biometrics 57: 1002-1008) estimator when cost-history data are available. The hcost program can also be used to specify the annual discounting rates for survival time and costs.

Original languageEnglish (US)
Article numberst0399
Pages (from-to)698-711
Number of pages14
JournalStata Journal
Volume15
Issue number3
Publication statusPublished - Jan 1 2015
Externally publishedYes

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Keywords

  • Censored data
  • Cost history
  • Cost-effectiveness analysis
  • hcost
  • Mean costs
  • st0399

ASJC Scopus subject areas

  • Mathematics (miscellaneous)

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