ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers

  • Brajendra C.¬†Sutradhar
Conference proceedings

DOI: 10.1007/978-1-4614-6871-4

Part of the Lecture Notes in Statistics book series (LNS, volume 211)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Longitudinal Data Analysis Subject to Measurement Error

    1. Front Matter
      Pages 1-1
    2. Laine Thomas, Leonard A. Stefanski, Marie Davidian
      Pages 33-51
    3. John P. Buonaccorsi
      Pages 53-76
    4. Erik Meijer, Laura Spierdijk, Tom Wansbeek
      Pages 77-92
  3. Longitudinal Data Analysis Subject to Missing Values

    1. Front Matter
      Pages 93-93
    2. Taslim S. Mallick, Patrick J. Farrell, Brajendra C. Sutradhar
      Pages 117-138
    3. Paul S. Albert, Rajeshwari Sundaram, Alexander C. McLain
      Pages 139-156
    4. Michael A. McIsaac, Richard J. Cook
      Pages 157-181
  4. Longitudinal Data Analysis Subject to Outliers

    1. Front Matter
      Pages 183-183

About these proceedings

Introduction

This proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics, 2012 held at Memorial University from July 16 to 18. These nine papers cover three different areas for longitudinal data analysis, four dealing with longitudinal data subject to measurement errors, four on incomplete longitudinal data analysis, and the last one for inferences for longitudinal data subject to outliers. Unlike in the independence setup, the inferences in measurement errors, missing values, and/or outlier models, are not adequately discussed in the longitudinal setup. The papers in the present volume provide details on successes and further challenges in these three areas for longitudinal data analysis. This volume is the first outlet with current research in three important areas in the longitudinal setup. The nine papers presented in three parts clearly reveal the similarities and differences in inference techniques used for three different longitudinal setups. Because the research problems considered in this volume are encountered in many real life studies in biomedical, clinical, epidemiology, socioeconomic, econometrics, and engineering fields, the volume should be useful to the researchers including graduate students in these areas.

Keywords

coarse data data analysis longitudinal data measurement error missing data regression

Editors and affiliations

  • Brajendra C.¬†Sutradhar
    • 1
  1. 1.Dept. Mathematics & StatisticsMemorial University of Newfoundland Dept. Mathematics & StatisticsSt. John'sCanada

Bibliographic information

  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-6870-7
  • Online ISBN 978-1-4614-6871-4
  • Series Print ISSN 0930-0325