Semiparametric theory and missing data /

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Bibliographic Details
Author / Creator:	Tsiatis, Anastasios A. (Anastasios Athanasios)
Imprint:	New York : Springer, c2006.
Description:	1 online resource (xvi, 383 p.)
Language:	English
Series:	Springer series in statistics Springer series in statistics.
Subject:	Parameter estimation. Missing observations (Statistics) Missing observations (Statistics) Parameter estimation.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8877889

Hidden Bibliographic Details
ISBN:	9780387373454 0387373454
Notes:	Includes bibliographical references (p. [375]-380) and index. Description based on print version record.
Summary:	Missing data arise in almost all scientific disciplines. In many cases, missing data in an analysis is treated in a casual and ad-hoc manner, leading to invalid inferences and erroneous conclusions. This book summarizes knowledge regarding the theory of estimation for semiparametric models with missing data.
Other form:	Print version: Tsiatis, Anastasios A. (Anastasios Athanasios). Semiparametric theory and missing data. New York : Springer, c2006 0387324488 9780387324487

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