MARC Record from harvard_bibliographic_metadata

LEADER: 04110nam a22004935a 4500
001 014199335-9
005 20141107200709.0
008 140911s2014 gw | s ||0| 0|eng d
020 $a9783319083834
020 $a9783319083834
020 $a9783319083827
024 7 $a10.1007/978-3-319-08383-4$2doi
035 $a(Springer)9783319083834
040 $aSpringer
050 4 $aQA276-280
072 7 $aPBT$2bicssc
072 7 $aMAT029000$2bisacsh
082 04 $a519.5$223
100 1 $aWillekens, Frans,$eauthor.
245 10 $aMultistate Analysis of Life Histories with R /$cby Frans Willekens.
264 1 $aCham :$bSpringer International Publishing :$bImprint: Springer,$c2014.
300 $aXXII, 308 p. 45 illus., 36 illus. in color.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aUse R!,$x2197-5736
505 0 $aIntroduction -- Life Histories: Real and Synthetic -- The Biograph Object -- Exploratory Data Analysis -- Visualization of Event Histories and State Sequences -- Statistical Packages for Multistate Event History Analysis -- The Multistate Life Table -- Application to Netherlands Family and Fertility Survey -- Summary -- Annexes. .
520 $aThis book provides an introduction to multistate event history analysis. It is an extension of survival analysis, in which a single terminal event (endpoint) is considered and the time-to-event is studied. Multistate models focus on life histories or trajectories, conceptualized as sequences of states and sequences of transitions between states. Life histories are modeled as realizations of continuous-time Markov processes. The model parameters, transition rates, are estimated from data on event counts and populations at risk, using the statistical theory of counting processes. The Comprehensive R Network Archive (CRAN) includes several packages for multistate modeling. This book is about Biograph. The package is designed to (a) enhance exploratory analysis of life histories and (b) make multistate modeling accessible.
520 $aThe package incorporates utilities that connect to several packages for multistate modeling, including survival, eha, Epi, mvna, etm, mstate, msm, and TraMineR for sequence analysis. The book is a ‘hands-on’ presentation of Biograph and the packages listed. It is written from the perspective of the user. To help the user master the techniques and the software, a single data set is used to illustrate the methods and software. It is the subsample of the German Life History Survey, which was also used by Blossfeld and Rohwer in their popular textbook on event history modeling. Another data set, the Netherlands Family and Fertility Survey, is used to illustrate how Biograph can assist in answering questions on life paths of cohorts and individuals. The book is suitable as a textbook for graduate courses on event history analysis and introductory courses on competing risks and multistate models. It may also be used as a self-study book. The R code used in the book is available online.
520 $aFrans Willekens is affiliated with the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany. He is Emeritus Professor of Demography at the University of Groningen, a Honorary Fellow of the Netherlands Interdisciplinary Demographic Institute (NIDI) in the Hague, and a Research Associate of the International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria. He has contributed to the modeling and simulation of life histories, mainly in the context of population forecasting.
650 20 $aEpidemiology.
650 20 $aDemography.
650 10 $aStatistics.
650 0 $aStatistics.
650 0 $aEpidemiology.
650 0 $aMathematical statistics.
650 0 $aDemography.
650 24 $aStatistics, general.
650 24 $aStatistics and Computing/Statistics Programs.
776 08 $iPrinted edition:$z9783319083827
830 0 $aUse R!
988 $a20141002
906 $0VEN