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

Shuai Chen (), Jennifer Rolfes and Hongwei Zhao
Additional contact information
Shuai Chen: University of Wisconsin–Madison
Jennifer Rolfes: T-Mobile
Hongwei Zhao: Texas A&M Health Science Center

Stata Journal, 2015, vol. 15, issue 3, 698-711

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. Copyright 2015 by StataCorp LP.

Keywords: hcost; mean costs; censored data; cost history; cost-effectiveness analysis (search for similar items in EconPapers)
Date: 2015
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