Applied Bayesian Statistical Studies in Biology and Medicine M. di Bacco

ISBN: 9781402075483

Published: November 1st 2003

Hardcover

258 pages


Description

Applied Bayesian Statistical Studies in Biology and Medicine  by  M. di Bacco

Applied Bayesian Statistical Studies in Biology and Medicine by M. di Bacco
November 1st 2003 | Hardcover | PDF, EPUB, FB2, DjVu, talking book, mp3, RTF | 258 pages | ISBN: 9781402075483 | 7.35 Mb

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 latoMoreIt 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.



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