東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Statistical analysis with measuremen...

Yi, Grace Y.

Linked to FindBook

Google Book

Amazon

博客來

Statistical analysis with measurement error or misclassification = strategy, method and application /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical analysis with measurement error or misclassification/ by Grace Y. Yi.
Reminder of title:	strategy, method and application /
Author:	Yi, Grace Y.
Published:	New York, NY :Springer New York : : 2017.,
Description:	xxvii, 479 p. :ill., digital ;24 cm.
[NT 15003449]:	Inference Framework and Method -- Measurement Error and Misclassification: Introduction -- Survival Data with Measurement Error -- Recurrent Event Data with Measurement Error -- Longitudinal Data with Covariate Measurement Error -- Multi-State Models with Error-Prone Data -- Case-Control Studies with Measurement Error or Misclassification -- Analysis with Error in Responses -- Miscellaneous Topics -- Appendix -- References.
Contained By:	Springer eBooks
Subject:	Errors-in-variables models. -
Online resource:	http://dx.doi.org/10.1007/978-1-4939-6640-0
ISBN:	9781493966400

Statistical analysis with measurement error or misclassification = strategy, method and application /
Yi, Grace Y.

Statistical analysis with measurement error or misclassificationstrategy, method and application /[electronic resource] :by Grace Y. Yi. - New York, NY :Springer New York :2017. - xxvii, 479 p. :ill., digital ;24 cm. - Springer series in statistics,0172-7397. - Springer series in statistics..

Inference Framework and Method -- Measurement Error and Misclassification: Introduction -- Survival Data with Measurement Error -- Recurrent Event Data with Measurement Error -- Longitudinal Data with Covariate Measurement Error -- Multi-State Models with Error-Prone Data -- Case-Control Studies with Measurement Error or Misclassification -- Analysis with Error in Responses -- Miscellaneous Topics -- Appendix -- References.

This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassification problems have been addressed in various fields over the years as well as with a wide spectrum of data, including event history data (such as survival data and recurrent event data), correlated data (such as longitudinal data and clustered data), multi-state event data, and data arising from case-control studies. Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application brings together assorted methods in a single text and provides an update of recent developments for a variety of settings. Measurement error effects and strategies of handling mismeasurement for different models are closely examined in combination with applications to specific problems. Readers with diverse backgrounds and objectives can utilize this text. Familiarity with inference methods--such as likelihood and estimating function theory--or modeling schemes in varying settings--such as survival analysis and longitudinal data analysis--can result in a full appreciation of the material, but it is not essential since each chapter provides basic inference frameworks and background information on an individual topic to ease the access of the material. The text is presented in a coherent and self-contained manner and highlights the essence of commonly used modeling and inference methods. This text can serve as a reference book for researchers interested in statistical methodology for handling data with measurement error or misclassification; as a textbook for graduate students, especially for those majoring in statistics and biostatistics; or as a book for applied statisticians whose interest focuses on analysis of error-contaminated data. Grace Y. Yi is Professor of Statistics and University Research Chair at the University of Waterloo. She is the 2010 winner of the CRM-SSC Prize, an honor awarded in recognition of a statistical scientist's professional accomplishments in research during the first 15 years after having received a doctorate. She is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute.

ISBN: 9781493966400

Standard No.: 10.1007/978-1-4939-6640-0doiSubjects--Topical Terms:

2133749
Errors-in-variables models.

LC Class. No.: QA275

Dewey Class. No.: 511.43

Statistical analysis with measurement error or misclassification = strategy, method and application /
LDR:03829nmm a2200325 a 4500 001 2106381
003 DE-He213
005 20180319114216.0
006 m d
007 cr nn 008maaau
008 180417s2017 nyu s 0 eng d
020 $a 9781493966400 $q (electronic bk.)
020 $a 9781493966387 $q (paper)
024 7 $a 10.1007/978-1-4939-6640-0 $2 doi
035 $a 978-1-4939-6640-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA275
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 511.43 $2 23
090 $a QA275 $b .Y51 2017
100 1 $a Yi, Grace Y. $3 3252251
245 1 0 $a Statistical analysis with measurement error or misclassification $h [electronic resource] : $b strategy, method and application / $c by Grace Y. Yi.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2017.
300 $a xxvii, 479 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer series in statistics, $x 0172-7397
505 0 $a Inference Framework and Method -- Measurement Error and Misclassification: Introduction -- Survival Data with Measurement Error -- Recurrent Event Data with Measurement Error -- Longitudinal Data with Covariate Measurement Error -- Multi-State Models with Error-Prone Data -- Case-Control Studies with Measurement Error or Misclassification -- Analysis with Error in Responses -- Miscellaneous Topics -- Appendix -- References.
520 $a This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassification problems have been addressed in various fields over the years as well as with a wide spectrum of data, including event history data (such as survival data and recurrent event data), correlated data (such as longitudinal data and clustered data), multi-state event data, and data arising from case-control studies. Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application brings together assorted methods in a single text and provides an update of recent developments for a variety of settings. Measurement error effects and strategies of handling mismeasurement for different models are closely examined in combination with applications to specific problems. Readers with diverse backgrounds and objectives can utilize this text. Familiarity with inference methods--such as likelihood and estimating function theory--or modeling schemes in varying settings--such as survival analysis and longitudinal data analysis--can result in a full appreciation of the material, but it is not essential since each chapter provides basic inference frameworks and background information on an individual topic to ease the access of the material. The text is presented in a coherent and self-contained manner and highlights the essence of commonly used modeling and inference methods. This text can serve as a reference book for researchers interested in statistical methodology for handling data with measurement error or misclassification; as a textbook for graduate students, especially for those majoring in statistics and biostatistics; or as a book for applied statisticians whose interest focuses on analysis of error-contaminated data. Grace Y. Yi is Professor of Statistics and University Research Chair at the University of Waterloo. She is the 2010 winner of the CRM-SSC Prize, an honor awarded in recognition of a statistical scientist's professional accomplishments in research during the first 15 years after having received a doctorate. She is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute.
650 0 $a Errors-in-variables models. $3 2133749
650 0 $a Error analysis (Mathematics) $3 549972
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 891086
650 2 4 $a Biostatistics. $3 1002712
650 2 4 $a Epidemiology. $3 568544
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer series in statistics. $3 1315057
856 4 0 $u http://dx.doi.org/10.1007/978-1-4939-6640-0
950 $a Mathematics and Statistics (Springer-11649)