It was written on another occasion· that "It is apparent that the scientific culture, if one means production of scientific papers, is growing exponentially, and chaotically, in almost every field of investigation". The biomedical sciences sensu lato and mathematical statistics are no exceptions. One might say then, and with good reason, that another collection of bio statistical papers would only add to the overflow and cause even more confusion. Nevertheless, this book may be greeted with some interest if we state that most of the papers in it are the result of a collaboration between biologists and statisticians, and partly the product of the Summer School th "Statistical Inference in Human Biology" which reaches its 10 edition in 2003 (information about the School can be obtained at the Web site http://www2. stat. unibo. itleventilSito%20scuolalindex. htm). is common experience - and not only This is rather important. Indeed, it in Italy - that encounters between statisticians and researchers are sporadic and hasty. This is not the place to justify this statement, which may sound too severe, as this preface would become much too long. It is sufficient to point out that very often whoever introduces young biologists and medical doctors to inductive reasoning about "data" either does not have a real interest in the concrete and specific meaning of the data or - if intereste- does not have a solid statistical background. In other words, he is usually a "theoretical" statistician or a biological or medical "technician".
"synopsis" may belong to another edition of this title.
From the reviews:
"The present book is designed to provide a useful presentation of thirteen detailed, well written papers in applied Bayesian statistical methods used in biological and medical research. ... the aim of this book is to present a consistent and self-contained overview on results ... . The book is of interest to research workers, teachers and students in applied statistics, medicine, genetics, biology, ethology and physical anthropology." (Cryssoula Ganatsiou, Zentralblatt MATH, Vol. 1094 (20), 2006)
This volume presents the results of biological and medical research with the statistical methods used to obtain them. Nowadays the fields of biology and experimental medicine rely on techniques for the processing of experimental data and for the evaluation of hypotheses. Thus it is increasingly necessary to stimulate awareness of the importance, variety and flexibility of statistical techniques (and of the possible traps that they can hide) by using real data in concrete situations drawn from research activity, instead of hypothetical examples. The approaches taken to deal with the various topics in the book may seem disparate, and the heterogeneity is quite apparent.
"About this title" may belong to another edition of this title.
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