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Panel 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.
Panel 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.
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