ISS-2012 proceedings volume on longitudinal data analysis subject to measurement errors, missing values, and/or outliers

International Symposium in Statistics (ISS) on Longitudinal Data Anaylsis Subject to Outliers, Measurement Errors, and/or Missing Values (2012 : Memorial University of Newfoundland)

Conferences

  • International Symposium in Statistics (ISS) on Longitudinal Data Anaylsis Subject to Outliers, Measurement Errors, and/or Missing Values (2012 : Memorial University of Newfoundland)

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Summary

  • "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"--Back cover.

Notes

  • "This special proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics (ISS) on Longitudinal Data Analysis Subject to Outliers, Measurement Errors, and/or Missing Values, held at Memorial University, Canada from July 16-18, 2012"--Page vii.
  • Includes bibliographical references.

Contents

  • Longitudinal data analysis subject to measurement error: Measurement error analysis from independent to longitudinal setup / Brajendra C. Sutradhar ; Bias reduction in logistic regression with estimated variance predictors / Laine Thomas, Leonard A. Stefanski, Marie Davidian ; Measurement error in dynamic models / John P. Buonaccorsi ; Measurement error in the linear dynamic panel data model / Erik Meijer, Laura Spierdijk, Tom Wansbeek -- Longitudinal data analysis subject to missing values: Inference progress in missing data analysis from independent to longitudinal setup / Consistent estimation in incomplete longitudinal binary models / Taslim S. Mallick, Patrick J. Farrell, Brajendra C. Sutradhar ; Innovative applications of shared random parameter models for analyzing longitudinal data subject to dropout / Paul S. Albert, Rajeshwari Sundaram, Alexander C. McLain ; Response-dependent sampling with clustered and longitudinal data / Michael A. McIsaac, Richard J. Cook -- Longitudinal data analysis subject to outliers: Robust inference progress from independent to longitudinal setup / Brajendra C. Sutradhar
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