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Dynamic Mixed Models for Familial Longitudinal Data (Record no. 22901)

000 -LEADER
fixed length control field 05067nam a22005175i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151445.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110126s2011 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441983428
978-1-4419-8342-8
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2011.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sutradhar, Brajendra C.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Dynamic Mixed Models for Familial Longitudinal Data
Medium [electronic resource] /
Statement of responsibility, etc by Brajendra C. Sutradhar.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 494 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Statistics,
International Standard Serial Number 0172-7397
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Overview of Linear Fixed Models for Longitudinal Data -- Overview of Linear Mixed Models for Longitudinal Data -- Familial Models for Count Data -- Familial Models for Binary Data -- Longitudinal Models for Count Data -- Longitudinal Models for Binary Data -- Longitudinal Mixed Models for Count Data -- Longitudinal Mixed Models for Binary Data -- Familial Longitudinal Models for Count Data -- Familial Longitudinal Models for Binary Data.
520 ## - SUMMARY, ETC.
Summary, etc This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized to develop theoretically sound inference techniques such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existing ‘working’ correlations based GEE (generalized estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is not suitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal data collected from the members of a large number of independent families by using the class of auto-correlation structures conditional on the random effects. The book also provides models and inferences for discrete longitudinal data in the adaptive clinical trial set up. The book is mathematically rigorous and provides details for the development of estimation approaches under selected familial and longitudinal models. Further, while the book provides special cares for mathematics behind the correlation models, it also presents the illustrations of the statistical analysis of various real life data. This book will be of interest to the researchers including graduate students in biostatistics and econometrics, among other applied statistics research areas. Brajendra Sutradhar is a University Research Professor at Memorial University in St. John’s, Canada. He is an elected member of the International Statistical Institute and a fellow of the American Statistical Association. He has published about 110 papers in statistics journals in the area of multivariate analysis, time series analysis including forecasting, sampling, survival analysis for correlated failure times, robust inferences in generalized linear mixed models with outliers, and generalized linear longitudinal mixed models with bio-statistical and econometric applications. He has served as an associate editor for six years for Canadian Journal of Statistics and for four years for the Journal of Environmental and Ecological Statistics. He has served for 3 years as a member of the advisory committee on statistical methods in Statistics Canada. Professor Sutradhar was awarded 2007 distinguished service award of Statistics Society of Canada for his many years of services to the society including his special services for society’s annual meetings.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Epidemiology.
Topical term or geographic name as entry element Biometrics.
Topical term or geographic name as entry element Statistical methods.
Topical term or geographic name as entry element Mathematical statistics.
Topical term or geographic name as entry element Econometrics.
Topical term or geographic name as entry element Social sciences
General subdivision Methodology.
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Statistical Theory and Methods.
Topical term or geographic name as entry element Biostatistics.
Topical term or geographic name as entry element Econometrics.
Topical term or geographic name as entry element Biometrics.
Topical term or geographic name as entry element Epidemiology.
Topical term or geographic name as entry element Methodology of the Social Sciences.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441983411
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-8342-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-09AUM Main Library2014-04-09 2014-04-09 E-Book   AUM Main Library519.5

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