000 02428nam a22003015i 4500
001 65421
005 20170606101316.0
010 _a978-1-4614-8715-9
_dcompra
090 _a65421
100 _a20150401d2013 k||y0pory50 ba
101 _aeng
102 _aUS
200 _aStatistical analysis of panel count data
_bDocumento eletrónico
_fJianguo Sun, Xingqiu Zhao
210 _aNew York, NY
_cSpringer
_d2013
215 _aXV, 271 p.
_cil.
225 _aStatistics for Biology and Health
300 _aColocação: Online
303 _aPanel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points.  By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies.  In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences.  For the cases where the study subjects are observed continuously, the resulting data  are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data.  It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions.  In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics. 
606 _aCiências sociais
_xMatemática
_911992
680 _aH61
700 _aSun
_bJianguo
_911993
701 _4070
_aZhao
_bXingqiu
_911994
801 _aPT
_gRPC
856 _uhttp://dx.doi.org/10.1007/978-1-4614-8715-9
942 _2lcc
_cF
_n0