000 03500nam a22004695i 4500
001 978-1-4614-8715-9
003 DE-He213
005 20140220082832.0
007 cr nn 008mamaa
008 131009s2013 xxu| s |||| 0|eng d
020 _a9781461487159
_9978-1-4614-8715-9
024 7 _a10.1007/978-1-4614-8715-9
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMBNS
_2bicssc
072 7 _aMED090000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aSun, Jianguo.
_eauthor.
245 1 0 _aStatistical Analysis of Panel Count Data
_h[electronic resource] /
_cby Jianguo Sun, Xingqiu Zhao.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXV, 271 p. 18 illus., 11 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 _aStatistics for Biology and Health,
_x1431-8776 ;
_v80
505 0 _aIntroduction -- Poisson Models and Parameter Inference -- Nonparametric Estimation -- Nonparametric Comparison of Point Processes -- Regression Analysis of Panel Count Data I and II -- Analysis of Multivariate Panel Count Data -- Other Topics -- Some Sets of Data -- References -- Index.
520 _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. 
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aStatistical Theory and Methods.
700 1 _aZhao, Xingqiu.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461487142
830 0 _aStatistics for Biology and Health,
_x1431-8776 ;
_v80
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-8715-9
912 _aZDB-2-SMA
999 _c96081
_d96081