TY  - BOOK
AU  - Tsiatis,Anastasios A.
TI  - Semiparametric theory and missing data
SN  - 9780387324487 (acidfree paper)
AV  - QA276.8 .T75 2006
U1  - 519.544 22
PY  - 2006///
CY  - New York
PB  - Springer
KW  - Parameter estimation
KW  - Missing observations (Statistics)
N1  - Includes bibliographical references and index; TOC; Introduction to semiparametric models --
Hilbert Space for random vectors --
The geometry of influence functions --
Semiparametric models --
Examples of semiparametric models --
Models and methods for missing data --
Missing and coarsening at random for semiparametric models --
The nuisance tangent space and its orthogonal complement --
Augmented inverse probability weighted complete-case estimators --
Improving efficiency and double robustness with coarsened data --
Locally efficient estimators for coarsened-data semiparametric models --
Approximate methods for gaining efficiency --
Double-robust estimator of the average causal treatment effect --
Multiple imputation: a frequentist perspective; AS
N2  - Summary:
This book summarizes current knowledge of the theory of estimation for semiparametric models with missing data, applying modern methods to missing, censored, and coarsened data with the goal of  Read more

UR  - http://www.loc.gov/catdir/enhancements/fy0663/2006921164-d.html
UR  - http://www.worldcat.org/title/semiparametric-theory-and-missing-data/oclc/70677376&referer=brief_results
UR  - http://lib.ewubd.edu/ebook/4526
ER  -