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Joint Analysis of Longitudinal Data with Informative Right Censoring

✍ Scribed by Mengling Liu; Zhiliang Ying

Book ID
109223656
Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
558 KB
Volume
63
Category
Article
ISSN
0006-341X

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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