Semiparametric Theory and Missing Data

Released on by Anastasios Tsiatis
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  • Semiparametric Theory and Missing Data Book Detail

  • Author : Anastasios Tsiatis
  • Release Date : 2007-01-15
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 392
  • ISBN 13 : 0387373454
  • File Size : 21,21 MB
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Semiparametric Theory and Missing Data by Anastasios Tsiatis PDF Summary

Book Description: This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.

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Semiparametric Theory and Missing Data

Semiparametric Theory and Missing Data

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This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner.

Missing Data in Longitudinal Studies

Missing Data in Longitudinal Studies

File Size : 71,71 MB
Total View : 7737 Views
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Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling an