Estimation of mean health care costs and incremental cost-effectiveness ratios with possibly censored data
Shuai Chen
Department of Biostatistics and Medical Informatics
University of Wisconsin–Madison
Madison, WI
[email protected]
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Jennifer Rolfes
T-Mobile
Seattle, WA
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Hongwei Zhao
Department of Epidemiology and Biostatistics
School of Rural Public Health
Texas A&M Health Science Center
College Station, TX
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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.
View all articles by these authors:
Shuai Chen, Jennifer Rolfes, Hongwei Zhao
View all articles with these keywords:
hcost, mean costs, censored data, cost history, cost-effectiveness analysis
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