This paper applies the inverse probability weighted (IPW) least-squares method to estimate the effects of treatment on total medical cost, subject to censoring, in a panel-data setting. IPW pooled ordinary-least squares (POLS) and IPW random effects (RE) models are used. Because total medical cost m
Estimation from Censored Medical Cost Data
✍ Scribed by Onur Başer; Joseph C. Gardiner; Cathy J. Bradley; Charles W. Given
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 127 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0323-3847
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