國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁 到查詢結果 [ subject:"Censored observations (Statistics)" ]

切換: 標籤 | MARC模式 | ISBD

Analysis of survival data with depen...

Chen, Yi-Hau.

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 :Takeshi Emura, Yi-Hau Chen.
其他題名:	copula-based approaches /
作者:	Emura, Takeshi.
其他作者:	Chen, Yi-Hau.
出版者:	Singapore :Springer,2018.
面頁冊數:	xiii, 84 p. ;24 cm.
標題:	Censored observations (Statistics)
ISBN:	9789811071638 (pbk.) :

Analysis of survival data with dependent censoring :copula-based approaches /
Emura, Takeshi.

Analysis of survival data with dependent censoring :copula-based approaches /Takeshi Emura, Yi-Hau Chen. - Singapore :Springer,2018. - xiii, 84 p. ;24 cm. - SpringerBriefs in statistics. JSS research series in statistics,2191-544X. - SpringerBriefs in statistics.JSS research series in statistics,.

Includes bibliographical references and index.

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 branchesof 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 tobasic survival analysis and explains the mathematical foundationsof copula-based survival models.

ISBN: 9789811071638 (pbk.) :NT$1560Subjects--Topical Terms:

684029
Censored observations (Statistics)

LC Class. No.: QA276.6 / E55 2018

Dewey Class. No.: 519.5/46

Analysis of survival data with dependent censoring :copula-based approaches /
LDR:01848nam a2200241 a 4500 001 524812
005 20180807232245.0
008 180822s2018 si b 001 0 eng d
020 $a 9789811071638 (pbk.) : $c NT$1560
020 $a 9789811071645 (ebk.)
020 $a 9811071632 (pbk.)
020 $a 9811071640 (ebk.)
035 $a (OCoLC)1030962487 $z (OCoLC)1034544186 $z (OCoLC)1038422320
035 $a on1030962487
040 $a GW5XE $b eng $e pn $e aacr2 $c GW5XE $d N $d EBLCP $d OCLCF $d AZU $d UPM $d FIE $d UAB $d OCLCQ $d STF
041 0 $a eng
050 4 $a QA276.6 $b E55 2018
082 0 4 $a 519.5/46 $2 23
100 1 $a Emura, Takeshi. $3 796751
245 1 0 $a Analysis of survival data with dependent censoring : $b copula-based approaches / $c Takeshi Emura, Yi-Hau Chen.
260 $a Singapore : $b Springer, $c 2018.
300 $a xiii, 84 p. ; $c 24 cm.
490 1 $a SpringerBriefs in statistics. JSS research series in statistics, $x 2191-544X
504 $a Includes bibliographical references and index.
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 branchesof 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 tobasic survival analysis and explains the mathematical foundationsof copula-based survival models.
650 0 $a Censored observations (Statistics) $3 684029
650 0 $a Copulas (Mathematical statistics) $3 247625
700 1 $a Chen, Yi-Hau. $3 796752
830 0 $a SpringerBriefs in statistics. $p JSS research series in statistics, $x 2191-544X. $3 796753