000			04016nam a2200421 a 4500
999			_c8172 _d8172
001			.b62130651
003			OSt
005			20220701112626.0
008			140903s2014 xxuad 001 0 eng c
020			_a9783319083827
040			_aEs-BaCBU _bcat _cEs-BaCBU _dOSt
041			_aeng
080			_a311:314 (02)
100	1		_aWILLEKENS, Frans _eaut. _96784
245	1	0	_aMultistate analysis of life histories with R / _cFrans Willekens
260			_aNew York, NY : _bSpringer Berlin Heidelberg, _ccop. 2014
300			_axxii, 308 p. : _bil., taules, gràf. ; _c24 cm
490	1		_aUSE R!
504			_aInclou referències bibliogràfiques i índex.
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. 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.
530			_aVersió electrònica de la mateixa versió impresa.
546	1		_aContingut en anglès.
650		0	_aEstadística matemàtica _2lemac _911648 _xManuals
650		0	_aR (Llenguatge de programació) _2lemac _913598
650		7	_aAnàlisi multivariable _2lemac _98282 _vManuals, guies, etc
650		7	_aDemografia _2lemac _9244
655		0	_914267 _aANÁLISIS BIOGRÁFICO _fEVENT HISTORY ANALYSIS _iANÀLISI BIOGRÀFICA
655		0	_914515 _aR (PROGRAMA) _fR (SOFTWARE) _iR (PROGRAMA)
655		0	_91363 _aANÁLISIS MULTIVARIABLE _fMULTIVARIATE ANALYSIS _iANÀLISI MULTIVARIABLE
655		0	_914228 _aSOFTWARE _fSOFTWARE _iSOFTWARE
655		0	_998 _aMODELOS _fMODELS _iMODELS
655		0	_999 _aMETODOLOGÍA _fMETHODOLOGY _iMETODOLOGIA
830		0	_aUse R! _913659
901			_aRevisat
907			_a.b62130651 _b23-01-17 _c04-11-14 _d04-11-14 _em _fa _g- _heng _ixxu _j0 _k0
940			_aOCLC _dUPF
942			_2udc _cMO