Journal
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
Volume 50, Issue 4, Pages 347-359Publisher
WILEY-BLACKWELL
DOI: 10.1111/j.1467-842X.2008.00521.x
Keywords
confidence region; local linear regression; missing at random; semiparametric estimation
Categories
Funding
- NIAID NIH HHS [R01 AI059773-03, R01 AI062247-03, R01 AI062247, R01 AI059773] Funding Source: Medline
Ask authors/readers for more resources
This paper considers statistical inference for partially linear models Y = X(inverted perpendicular) beta + v(Z) + epsilon when the linear covariate X is missing with missing probability pi depending upon (Y, Z). We propose empirical likelihood-based statistics to construct confidence regions for beta and v(z). The resulting empirical likelihood ratio statistics are shown to be asymptotically chi-squared-distributed. The finite-sample performance of the proposed statistics is assessed by simulation experiments. The proposed methods are applied to a dataset from an AIDS clinical trial.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available