Joint models for longitudinal and time-to-event data (Record no. 12197)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03306nam a2200361Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | CAH0KE13502PDF |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | BD-DhSAU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20151012144310.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m|||||o||d|||||||| |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr|||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120720s2012 fluad sb 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781439872871 (ebook : PDF) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BD-DhSAU |
| Transcribing agency | BD-DhSAU |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | QA279 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) | .R59 2012 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 518 |
| Item number | R627 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rizopoulos, Dimitris. |
| 245 10 - TITLE STATEMENT | |
| Title | Joint models for longitudinal and time-to-event data |
| Medium | [electronic resource] : |
| 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. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC biostatistics series ; |
| Volume/sequential designation | 6 |
| 500 ## - GENERAL NOTE | |
| General note | "A Chapman & Hall book." |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references (p. 239-255) and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction -- 2. Longitudinal data analysis -- 3. Analysis of event time data -- 4. Joint models for longitudinal and time-to-event data -- 5. Extensions of the standard joint model -- 6. Joint model diagnostics -- 7. Prediction and accuracy in joint models. |
| 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. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print edition. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 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) |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | lcsh |
| 776 1# - ADDITIONAL PHYSICAL FORM ENTRY | |
| International Standard Book Number | 9781439872864 (hardback) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Chapman & Hall/CRC biostatistics series ; |
| Volume number/sequential designation | 6. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://marc.crcnetbase.com/isbn/9781439872871">http://marc.crcnetbase.com/isbn/9781439872871</a> |
| Electronic format type | application/PDF |
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