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

Modeling discrete time-to-event data

Tutz, Gerhard.

Linked to FindBook

Google Book

Amazon

博客來

Modeling discrete time-to-event data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling discrete time-to-event data/ by Gerhard Tutz, Matthias Schmid.
Author:	Tutz, Gerhard.
other author:	Schmid, Matthias.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	x, 247 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- The Life Table -- Basic Regression Models -- Evaluation and Model Choice -- Nonparametric Modelling and Smooth Effects -- Tree-Based Approaches -- High-Dimensional Models - Structuring and Selection of Predictors -- Competing Risks Models -- Multiple-Spell Analysis -- Frailty Models and Heterogeneity -- Multiple-Spell Analysis -- List of Examples -- Bibliography -- Subject Index -- Author Index.
Contained By:	Springer eBooks
Subject:	Discrete-time systems - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28158-2
ISBN:	9783319281582

Modeling discrete time-to-event data
Tutz, Gerhard.

Modeling discrete time-to-event data[electronic resource] /by Gerhard Tutz, Matthias Schmid. - Cham :Springer International Publishing :2016. - x, 247 p. :ill. (some col.), digital ;24 cm. - Springer series in statistics,0172-7397. - Springer series in statistics..

Introduction -- The Life Table -- Basic Regression Models -- Evaluation and Model Choice -- Nonparametric Modelling and Smooth Effects -- Tree-Based Approaches -- High-Dimensional Models - Structuring and Selection of Predictors -- Competing Risks Models -- Multiple-Spell Analysis -- Frailty Models and Heterogeneity -- Multiple-Spell Analysis -- List of Examples -- Bibliography -- Subject Index -- Author Index.

This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.

ISBN: 9783319281582

Standard No.: 10.1007/978-3-319-28158-2doiSubjects--Topical Terms:

683522
Discrete-time systems
--Mathematical models.

LC Class. No.: QA402

Dewey Class. No.: 003.83

Modeling discrete time-to-event data
LDR:02644nmm a2200325 a 4500 001 2041547
003 DE-He213
005 20161129141001.0
006 m d
007 cr nn 008maaau
008 170118s2016 gw s 0 eng d
020 $a 9783319281582 $q (electronic bk.)
020 $a 9783319281568 $q (paper)
024 7 $a 10.1007/978-3-319-28158-2 $2 doi
035 $a 978-3-319-28158-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 003.83 $2 23
090 $a QA402 $b .T967 2016
100 1 $a Tutz, Gerhard. $3 678758
245 1 0 $a Modeling discrete time-to-event data $h [electronic resource] / $c by Gerhard Tutz, Matthias Schmid.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a x, 247 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in statistics, $x 0172-7397
505 0 $a Introduction -- The Life Table -- Basic Regression Models -- Evaluation and Model Choice -- Nonparametric Modelling and Smooth Effects -- Tree-Based Approaches -- High-Dimensional Models - Structuring and Selection of Predictors -- Competing Risks Models -- Multiple-Spell Analysis -- Frailty Models and Heterogeneity -- Multiple-Spell Analysis -- List of Examples -- Bibliography -- Subject Index -- Author Index.
520 $a This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.
650 0 $a Discrete-time systems $x Mathematical models. $3 683522
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 Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 894294
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
700 1 $a Schmid, Matthias. $3 2200261
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/10.1007/978-3-319-28158-2
950 $a Mathematics and Statistics (Springer-11649)