語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
The Cox model and its applications
~
Nikulin, Mikhail.
FindBook
Google Book
Amazon
博客來
The Cox model and its applications
紀錄類型:
書目-電子資源 : 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.
內容註:
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.
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:
2191818
Proportional hazards models.
LC Class. No.: R853.S7
Dewey Class. No.: 519.546
The Cox model and its applications
LDR
:02371nmm a2200325 a 4500
001
2036019
003
DE-He213
005
20161013090224.0
006
m d
007
cr nn 008maaau
008
161117s2016 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
2191816
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 :
$b
Springer Berlin Heidelberg :
$b
Imprint: Springer,
$c
2016.
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
2191818
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
700
1
$a
Wu, Hong-Dar Isaac.
$3
2191817
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in statistics.
$3
1565658
856
4 0
$u
http://dx.doi.org/10.1007/978-3-662-49332-8
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9279863
電子資源
11.線上閱覽_V
電子書
EB R853.S7
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入