000			01769 a2200253 4500
999			_c1848 _d1848
003			OSt
005			20191203191758.0
008			191203b ||||| |||| 00| 0 eng d
020	0		_a9781412997706
040	0		_cIIMV
082	0		_a300.727 ALL
100	1		_aAllison, Paul D. _eAuthor _91365
245	0		_aEvent History and Survival Analysis/ _cPaul D. Allison
250			_aSecond Edition
260			_bSage _a2014 _cNew Delhi
300		0	_axv,93pages: _bIllustrations _c15 cms.
440	0		_aQuantitative applications in the social sciences _91366
505			_a Introduction -- Discrete-time methods -- Parametric methods for continuous-time data -- Cox regression -- Multiple kinds of events -- Repeated events -- Conclusion.
520	3		_a Social scientists are interested in events and their causes. Although even histories are ideal for studying the causes of events, they typically possess two features--censoring and time-varying explanatory variables--that create major problems for standard statistical procedures. Several innovative approaches have been developed to accommodate these two peculiarities of event history data. This volume surveys these methods, concentrating on the approaches that are most useful to the social sciences. In particular, Paul D. Allison focuses on regression methods in which the occurrence of events is dependent on one or more explanatory variables. He gives attention to the statistical models that form the basis of event history analysis, and also to practical concerns such as data management, cost, and useful computer software.--From publisher's description.
650	0		_aEvent history analysis. _91367
650	0		_aEreignisdatenanalyse. _91368
650	0		_aZeitreihenanalyse. _91369
942			_2ddc _cBK