Applied Bayesian Statistical Studies in Biology and Medicine

Applied Bayesian Statistical Studies in Biology and Medicine edited by M. di Bacco, G. d'Amore, F. Scalfari.

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 exce...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: di Bacco, M. (Editor), d'Amore, G. (Editor), Scalfari, F. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Springer eBook Collection.
Subjects:
Statistics .
Public health.
Biomathematics.
Anthropology.
Human genetics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1. Some reflections on the current state of statistics
  • 2. Answering two biological questions with a latent class model via MCMC applied to capture-recapture data
  • 3. On the Bayesian inference of the Hardy-Weinberg equilibrium model
  • 4. Identifying a Bayesian Network for the problem “Hospital and families: the analysis of patient satisfaction with their stay in hospital”
  • 5. Reliability of GIST diagnosis based on partial information
  • 6. Comparing two groups or treatments-a Bayesian approach
  • 7. Two experimental settings in clinical trials: predictive criteria for choosing the sample size in interval estimation
  • 8. Attributing a paleoanthropological specimen to a prehistoric population: a Bayesian approach with multivariate B-spline functions
  • 9. An example of the subjectivist statistical method for learning from data: Why do whales strand when they do?
  • 10. Development and communication of Bayesan methodology for medical device clinical trials
  • 11. An adaptive SIR algorithm for Bayesian multilevel inference on categorical data
  • 12. Age at death diagnosis by cranial suture obliteration: a Bayesian approach
  • 13. Bayesian estimation of restriction fragment length from electrophoretic analysis.

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