語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Analysis of Survival Data with Depen...
~
SpringerLink (Online service)
Analysis of Survival Data with Dependent Censoring = Copula-Based Approaches /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Analysis of Survival Data with Dependent Censoring/ by Takeshi Emura, Yi-Hau Chen.
其他題名:
Copula-Based Approaches /
作者:
Emura, Takeshi.
其他作者:
Chen, Yi-Hau.
面頁冊數:
XIII, 84 p. 10 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics . -
電子資源:
https://doi.org/10.1007/978-981-10-7164-5
ISBN:
9789811071645
Analysis of Survival Data with Dependent Censoring = Copula-Based Approaches /
Emura, Takeshi.
Analysis of Survival Data with Dependent Censoring
Copula-Based Approaches /[electronic resource] :by Takeshi Emura, Yi-Hau Chen. - 1st ed. 2018. - XIII, 84 p. 10 illus.online resource. - JSS Research Series in Statistics,2364-0057. - JSS Research Series in Statistics,.
Chapter 1: Setting the scene -- Chapter 2: Introduction to survival analysis -- Chapter 3: Copula models for dependent censoring -- Chapter 4: Gene selection under dependent censoring -- Chapter 5: The joint frailty-copula model for meta-analysis -- Chapter 6:High-dimensional covariates in the joint frailty-copula model -- Chapter 7:Dynamic prediction of time-to-death. Chapter 8: Future developments -- Appendix.
This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring. The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients’ survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role. The book can be used as a textbook for graduate coursework or a short course aimed at (bio-) statisticians. To deepen readers’ understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models.
ISBN: 9789811071645
Standard No.: 10.1007/978-981-10-7164-5doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Analysis of Survival Data with Dependent Censoring = Copula-Based Approaches /
LDR
:02765nam a22004095i 4500
001
996779
003
DE-He213
005
20200704204935.0
007
cr nn 008mamaa
008
201225s2018 si | s |||| 0|eng d
020
$a
9789811071645
$9
978-981-10-7164-5
024
7
$a
10.1007/978-981-10-7164-5
$2
doi
035
$a
978-981-10-7164-5
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
MED090000
$2
bisacsh
072
7
$a
PBT
$2
thema
072
7
$a
MBNS
$2
thema
082
0 4
$a
519.5
$2
23
100
1
$a
Emura, Takeshi.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1202727
245
1 0
$a
Analysis of Survival Data with Dependent Censoring
$h
[electronic resource] :
$b
Copula-Based Approaches /
$c
by Takeshi Emura, Yi-Hau Chen.
250
$a
1st ed. 2018.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2018.
300
$a
XIII, 84 p. 10 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
JSS Research Series in Statistics,
$x
2364-0057
505
0
$a
Chapter 1: Setting the scene -- Chapter 2: Introduction to survival analysis -- Chapter 3: Copula models for dependent censoring -- Chapter 4: Gene selection under dependent censoring -- Chapter 5: The joint frailty-copula model for meta-analysis -- Chapter 6:High-dimensional covariates in the joint frailty-copula model -- Chapter 7:Dynamic prediction of time-to-death. Chapter 8: Future developments -- Appendix.
520
$a
This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring. The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients’ survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role. The book can be used as a textbook for graduate coursework or a short course aimed at (bio-) statisticians. To deepen readers’ understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models.
650
0
$a
Statistics .
$3
1253516
650
0
$a
Biostatistics.
$3
783654
650
1 4
$a
Statistics for Life Sciences, Medicine, Health Sciences.
$3
670172
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Statistics for Social Sciences, Humanities, Law.
$3
1211304
700
1
$a
Chen, Yi-Hau.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1202728
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811071638
776
0 8
$i
Printed edition:
$z
9789811071652
830
0
$a
JSS Research Series in Statistics,
$x
2364-0057
$3
1255493
856
4 0
$u
https://doi.org/10.1007/978-981-10-7164-5
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入