國立虎尾科技大學 |

The Cox model and its applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Cox model and its applications/ by Mikhail Nikulin, Hong-Dar Isaac Wu.
作者:	Nikulin, Mikhail.
其他作者:	Wu, Hong-Dar Isaac.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
面頁冊數:	xiii, 124 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Proportional hazards models. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-49332-8
ISBN:	9783662493328

The Cox model and its applications
Nikulin, Mikhail.

The Cox model and its applications[electronic resource] /by Mikhail Nikulin, Hong-Dar Isaac Wu. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xiii, 124 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

Introduction: Several Classical Data Examples for Survival Analysis -- Elements of Survival Analysis -- The Cox Proportional Hazards Model -- The AFT, GPH, LT, Frailty, and GLPH Models -- Cross-effect Models of Survival Functions -- The Simple Cross-effect Model -- Goodness-of-Fit for the Cox Model -- Remarks on Computations in Parametric and Semiparametric Estimation -- Cox Model for Degradation and Failure Time Data -- References -- Index.

This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control. Since Sir David Cox's pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis. Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.

ISBN: 9783662493328

Standard No.: 10.1007/978-3-662-49332-8doiSubjects--Topical Terms:

1108204
Proportional hazards models.

LC Class. No.: R853.S7

Dewey Class. No.: 519.546

The Cox model and its applications
LDR:02371nam a2200325 a 4500 001 863824
003 DE-He213
005 20161013090224.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783662493328 $q (electronic bk.)
020 $a 9783662493311 $q (paper)
024 7 $a 10.1007/978-3-662-49332-8 $2 doi
035 $a 978-3-662-49332-8
040 $a GP $c GP
041 0 $a eng
050 4 $a R853.S7
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.546 $2 23
090 $a R853.S7 $b N694 2016
100 1 $a Nikulin, Mikhail. $3 1108202
245 1 4 $a The Cox model and its applications $h [electronic resource] / $c by Mikhail Nikulin, Hong-Dar Isaac Wu.
260 $a Berlin, Heidelberg : $c 2016. $b Springer Berlin Heidelberg : $b Imprint: Springer,
300 $a xiii, 124 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics, $x 2191-544X
505 0 $a Introduction: Several Classical Data Examples for Survival Analysis -- Elements of Survival Analysis -- The Cox Proportional Hazards Model -- The AFT, GPH, LT, Frailty, and GLPH Models -- Cross-effect Models of Survival Functions -- The Simple Cross-effect Model -- Goodness-of-Fit for the Cox Model -- Remarks on Computations in Parametric and Semiparametric Estimation -- Cox Model for Degradation and Failure Time Data -- References -- Index.
520 $a This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control. Since Sir David Cox's pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis. Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.
650 0 $a Proportional hazards models. $3 1108204
650 1 4 $a Statistics. $3 556824
650 2 4 $a Statistical Theory and Methods. $3 671396
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 2 4 $a Biostatistics. $3 783654
650 2 4 $a Epidemiology. $3 635923
700 1 $a Wu, Hong-Dar Isaac. $3 1108203
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in statistics. $3 884250
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-49332-8
950 $a Mathematics and Statistics (Springer-11649)