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Joint models for longitudinal and time-to-event data : (Record no. 41451)

000 -LEADER
fixed length control field 02763cam a2200325 a 4500
001 - CONTROL NUMBER
control field 17312879
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhUL
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20150809125700.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120522s2012 flua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2012014570
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439872864 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency BD-DhUL
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA279
Item number .R59 2012
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 518
Edition number 23
Item number RIJ
084 ## - OTHER CLASSIFICATION NUMBER
Classification number MAT029000
-- MED028000
Number source bisacsh
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rizopoulos, Dimitris.
245 10 - TITLE STATEMENT
Title Joint models for longitudinal and time-to-event data :
Remainder of title with applications in R /
Statement of responsibility, etc. Dimitris Rizopoulos.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. 2012.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 261 p. :
Other physical details ill. ;
Dimensions 24 cm.
365 ## - TRADE PRICE
Price type code GBP
Price amount 55.99
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC biostatistics series ;
Volume/sequential designation 6
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Preface Joint models for longitudinal and time-to-event data have become a valuable tool in the analysis of follow-up data. These models are applicable mainly in two settings: First, when focus is in the survival outcome and we wish to account for the effect of an endogenous time-dependent covariate measured with error, and second, when focus is in the longitudinal outcome and we wish to correct for nonrandom dropout. Due to their capability to provide valid inferences in settings where simpler statistical tools fail to do so, and their wide range of applications, the last 25 years have seen many advances in the joint modeling field. Even though interest and developments in joint models have been widespread, information about them has been equally scattered in articles, presenting recent advances in the field, and in book chapters in a few texts dedicated either to longitudinal or survival data analysis. However, no single monograph or text dedicated to this type of models seems to be available. The purpose in writing this book, therefore, is to provide an overview of the theory and application of joint models for longitudinal and survival data. In the literature two main frameworks have been proposed, namely the random effects joint model that uses latent variables to capture the associations between the two outcomes (Tsiatis and Davidian, 2004), and the marginal structural joint models based on G estimators (Robins et al., 1999, 2000). In this book we focus in the former. Both subfields of joint modeling, i.e., handling of endogenous time-varying covariates and nonrandom dropout, are equally covered and presented in real datasets"--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Numerical analysis
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS / Probability & Statistics / General.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MEDICAL / Epidemiology.
Source of heading or term bisacsh
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Price effective from Date last seen Permanent Location Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Withdrawn status Copy number Source of acquisition Collection code Damaged status Shelving location Barcode Current Location Full call number
2015-08-092015-08-09Dhaka University Science Library 2015-05-14 Books  2PurchasedNon Fiction General Stacks491004Dhaka University Science Library518 RIJ
2015-08-092015-08-09Dhaka University Science Library 2015-05-14 Books  1PurchasedNon Fiction General Stacks491003Dhaka University Science Library518 RIJ
Last Updated on September 15, 2019
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