Applied Bayesian Statistical Studies in Biology and Medicine:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
2004
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 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" |
Beschreibung: | 1 Online-Ressource (XVIII, 258 p) |
ISBN: | 9781461302179 9781461379461 |
DOI: | 10.1007/978-1-4613-0217-9 |
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500 | |a 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" | ||
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author | Bacco, M. |
author_facet | Bacco, M. |
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institution | BVB |
isbn | 9781461302179 9781461379461 |
language | English |
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spelling | Bacco, M. Verfasser aut Applied Bayesian Statistical Studies in Biology and Medicine edited by M. Bacco, G. D’Amore, F. Scalfari Boston, MA Springer US 2004 1 Online-Ressource (XVIII, 258 p) txt rdacontent c rdamedia cr rdacarrier 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" Statistics Human genetics Anthropology Statistics for Life Sciences, Medicine, Health Sciences Public Health/Gesundheitswesen Mathematical and Computational Biology Human Genetics Statistik D’Amore, G. Sonstige oth Scalfari, F. Sonstige oth https://doi.org/10.1007/978-1-4613-0217-9 Verlag Volltext |
spellingShingle | Bacco, M. Applied Bayesian Statistical Studies in Biology and Medicine Statistics Human genetics Anthropology Statistics for Life Sciences, Medicine, Health Sciences Public Health/Gesundheitswesen Mathematical and Computational Biology Human Genetics Statistik |
title | Applied Bayesian Statistical Studies in Biology and Medicine |
title_auth | Applied Bayesian Statistical Studies in Biology and Medicine |
title_exact_search | Applied Bayesian Statistical Studies in Biology and Medicine |
title_full | Applied Bayesian Statistical Studies in Biology and Medicine edited by M. Bacco, G. D’Amore, F. Scalfari |
title_fullStr | Applied Bayesian Statistical Studies in Biology and Medicine edited by M. Bacco, G. D’Amore, F. Scalfari |
title_full_unstemmed | Applied Bayesian Statistical Studies in Biology and Medicine edited by M. Bacco, G. D’Amore, F. Scalfari |
title_short | Applied Bayesian Statistical Studies in Biology and Medicine |
title_sort | applied bayesian statistical studies in biology and medicine |
topic | Statistics Human genetics Anthropology Statistics for Life Sciences, Medicine, Health Sciences Public Health/Gesundheitswesen Mathematical and Computational Biology Human Genetics Statistik |
topic_facet | Statistics Human genetics Anthropology Statistics for Life Sciences, Medicine, Health Sciences Public Health/Gesundheitswesen Mathematical and Computational Biology Human Genetics Statistik |
url | https://doi.org/10.1007/978-1-4613-0217-9 |
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