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πŸ“

Applied Bayesian Statistical Studies in Biology and Medicine

✍ Scribed by D. V. Lindley (auth.), M. Di Bacco, G. D’Amore, F. Scalfari (eds.)


Publisher
Springer US
Year
2004
Tongue
English
Leaves
269
Edition
1
Category
Library

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✦ Synopsis


It was written on another occasionΒ· 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 bioΒ­ 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".

✦ Table of Contents


Front Matter....Pages i-xvii
Some Reflections on the Current State of Statistics....Pages 1-6
Answering Two Biological Questions with a Latent Class Model via MCMC Applied to Capture-Recapture Data....Pages 7-23
On the Bayesian Inference of the Hardy-Weinberg Equilibrium Model....Pages 25-40
Identifying a Bayesian Network for the Problem β€œHospital and Families: The Analysis of Patient Satisfaction with Their Stay in Hospital”....Pages 41-72
Reliability of GIST Diagnosis Based on Partial Information....Pages 73-88
Comparing Two Groups or Treatmentsβ€”A Bayesian Approach....Pages 89-107
Two Experimental Settings in Clinical Trials: Predictive Criteria for Choosing the Sample Size in Interval Estimation....Pages 109-130
Attributing a Paleoanthropological Specimen to a Prehistoric Population: A Bayesian Approach with Multivariate B-Spline Functions....Pages 131-152
An Example of the Subjectivist Statistical Method for Learning from Data: Why do Whales Strand when They do?....Pages 153-187
Development and Communication of Bayesan Methodology for Medical Device Clinical Trials....Pages 189-220
An Adaptive SIR Algorithm for Bayesian Multilevel Inference on Categorical Data....Pages 221-237
Age at Death Diagnosis by Cranial Suture Obliteration: A Bayesian Approach....Pages 239-249
Bayesian Estimation of Restriction Fragment Length from Electrophoretic Analysis....Pages 251-258

✦ Subjects


Statistics for Life Sciences, Medicine, Health Sciences; Public Health/Gesundheitswesen; Mathematical and Computational Biology; Anthropology; Human Genetics


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