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1-4 of 4 results for Author: geert molenberghs (sorted by Publication Date, showing all)
  1. Handbook of Missing Data

    By Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Written by a team of leading researchers in the field, this handbook presents a comprehensive overview of the state of the art in the theory and applications of missing data analysis. It covers historical developments, Bayesian and likelihood methods, semiparametric methods, multiple imputation,...

    To Be Published November 11th 2014 by Chapman and Hall/CRC

  2. Past, Present, and Future of Statistical Science

    Edited by Xihong Lin, Christian Genest, David L. Banks, Geert Molenberghs, David W. Scott, Jane-Ling Wang

    Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member statistical societies in North America and is...

    Published March 25th 2014 by Chapman and Hall/CRC

  3. Longitudinal Data Analysis

    Edited by Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and...

    Published August 10th 2008 by Chapman and Hall/CRC

  4. Topics in Modelling of Clustered Data

    Edited by Marc Aerts, Geert Molenberghs, Louise M. Ryan, Helena Geys

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the contributions of leading specialists in the field, Topics in Modelling of Clustered Data describes the tools and techniques for modelling the clustered data often...

    Published May 28th 2002 by Chapman and Hall/CRC

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