2014, ISBN: 3319083821

Rechnung legen wir bei. This book provides an introduction to multistate event history analysis. (Reijo Sund, International Statistical Review, Vol. 83 (2), 2015). This book is aboutBiogr… Mehr…

Rechnung legen wir bei. This book provides an introduction to multistate event history analysis. (Reijo Sund, International Statistical Review, Vol. 83 (2), 2015). This book is aboutBiograph. It is written from the perspective of the user. Multistate Analysis of Life Histories with REinbandPaperback / SoftbackAutor(en)Willekens, FransVerlagSpringer, BerlinAuflage2014Ausgabe2014Formatangaben308 pages; XXII, 308 p. 45 illus., 36 illus. in color.; 237 x 156 x 18 mmSpracheengISBN3319083821ISBN-13 / EAN9783319083827Reihe / SerieUse R!SchlagworteSurvival analysis, Demography / Demographic methods, Epidemiology/Methods, Multistate modeling, Event historiesPreisEUR 53,49 (inkl. MwSt.)NEUWARE - Tagesaktueller, sicherer und weltweiter Versand. Rechnung legen wir bei.This 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. The 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. Frans 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 is a member of Royal Netherlands Academy of Arts and Sciences (KNAW). He has contributed to the modeling and simulation of life histories, mainly in the context of population forecasting."The book is largely built around a description of population change as a set of life histories, viewed as the realization of stochastic processes. ... This book is a very nice addition to the many other important methodological contributions made by Frans Willekens and I recommend that it be read by all demographers ... ." (David A. Swanson, Canadian Studies in Population, Vol. 42 (3-4), 2015)"This book is about pragmatic analysis of life histories using a selection of packages for statistical programming language R. ... I recommend the book for everyone interested in pragmatic analyses of life histories with R. ... successfully provides a well-justified selection of useful methods with (now) well-documented tools for pragmatic analyses of multistate life histories." (Reijo Sund, International Statistical Review, Vol. 83 (2), 2015)Hinweis: Auflage und/oder Erscheinungsjahr können im Buchkatalog von eBay unter Umständen von unseren Angeboten abweichen. Dies gilt insbesondere wenn eine ISBN durch den Verlag doppelt vergeben wurde. Im Einzelfall bzw. bei Bedarf bitte VOR Bestellung erfragen.Angaben zur Versandzeit stammen aus Standardeinstellung von ebay; Wir verschicken tagesaktuell; Sendungen unter 1 kg werden als Waren-/Büchersendung (Laufzeiten sind leider sehr unterschiedlich zwischen 2 und 14 Werktagen) verschickt, ab 1 Kg erfolgt der Versand über DPD.Falls Sie eine Bestellung dringend bzw. zu einem bestimmten Zeitpunkt benötigen, wählen Sie bitte immer die Versandart PAKETVERSAND (DPD Classic), ansonsten können wir die Lieferzeiten nicht garantieren.Artikel eingestellt mit dem w+h GmbH eBay-ServiceDaten- und Bilderhosting mit freundlicher Unterstützung von Buchfreund. (2023-09-08), Festpreisangebot, [LT: FixedPrice], EAN: 9783319083827, Publikationsname: Multistate Analysis of Life Histories with R 2584, Sprache: Englisch, Format: 308 pages; XXII, 308 p. 45 illus., 36 illus. in color.; 237 x 156, Produktart: Paperback / Softback, Anzahl der Seiten: 308 pages, Gewicht: 516g, Fach: Informatik/EDV, 2014<

2014, ISBN: 9783319083827

[ED: Softcover], [PU: Springer / Springer International Publishing / Springer, Berlin], This book provides an introduction to multistate event history analysis. It is an extension of surv… Mehr…

[ED: Softcover], [PU: Springer / Springer International Publishing / Springer, Berlin], This 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. The package incorporates utilities that connect to several packages for multistate modeling, including survival, eha, Epi, mvna<, etm, mstate, msm, andTraMineR 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. Frans 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 is a member of Royal Netherlands Academy of Arts and Sciences (KNAW). He has contributed to the modeling and simulation of life histories, mainly in the context of population forecasting. 2014. 2014. xxii, 308 S. XXII, 308 p. 45 illus., 36 illus. in color. 235 mm Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

2023, ISBN: 9783319083827

[ED: Taschenbuch], [PU: Springer International Publishing], Neuware - This book provides an introduction to multistate event history analysis. It is an extension of survival analysis, in … Mehr…

[ED: Taschenbuch], [PU: Springer International Publishing], Neuware - This 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. The 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. Frans 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 is a member of Royal Netherlands Academy of Arts and Sciences (KNAW). He has contributed to the modeling and simulation of life histories, mainly in the context of population forecasting., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x19 mm, 332, [GW: 505g], Banküberweisung, PayPal, Internationaler Versand<

2014, ISBN: 9783319083827

Taschenbuch

Buch, Softcover, 2014, This book provides an introduction to multistate event history analysis. It is an extension of survival analysis, in which a single terminal event (endpoint) is con… Mehr…

Buch, Softcover, 2014, This 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. The 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. Frans 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 is a member of Royal Netherlands Academy of Arts and Sciences (KNAW). He has contributed to the modeling and simulation of life histories, mainly in the context of population forecasting. [PU: Springer International Publishing], Seiten: 308, Springer International Publishing, 2014<

ISBN: 9783319083827

Paperback / softback. New. This book provides an introduction to multistate event history analysis. It is the subsample of the German Life History Survey, which was also used by Blossfel… Mehr…

Paperback / softback. New. This book provides an introduction to multistate event history analysis. 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., 6<