Issues for the next generation of health care cost analyses.
BACKGROUND
Given the characteristics of health care expenditure/cost data-a mass of observations at zero, and skewed positive expenditures, various alternative estimators have been developed that can address the analytical issues these characteristics raise. The field continues to develop new approaches and to evaluate the performance of the existing ones.


OBJECTIVE
We discuss the strengths and limitations in existing methods for estimation and for model specification and checking. We suggest some areas that need fuller development or a better understanding of how the estimation approach performs when the outcome exhibits the skewness and heavy right tails that are typical of health care data. We also address various other aspects of cost analysis that include dealing with induced censoring, estimating casual effects, and generating reliable predictions that may apply to many studies.


RESULTS
No current method is optimal or dominant for all cost applications. Many of the diagnostics used in choosing among alternatives have limitations that need more careful study. Several avenues in modeling cost data remain unexplored.


CONCLUSIONS
Taken together, we hope that this essay would serve as a guide to the choice among methods and to the next generation of methodological research in this field.
Basu
Anirban
A
Department of Medicine, Center for Health and the Social Sciences, University of Chicago, Chicago, Illinois, USA. abasu@medicine.bsd.uchicago.edu
Manning
Willard G
WG
D003365:Costs and Cost Analysis / Q000379:methods; D005069:Evaluation Studies as Topic; D017048:Health Care Costs; D017059:Models, Econometric; D017063:Outcome Assessment, Health Care / Q000379:methods; D012044:Regression Analysis; D018709:Statistics, Nonparametric