Applied Bayesian statistical studies in biology and medicine / edited by M. Di Bacco, G. D'Amore, F. Scalfari.

Format:

Book

Contributor:

Di Bacco, M. (Mario)

D'Amore, G. (Giuseppe)

Scalfari, Francesco.

Language:

English

Subjects (All):

Medicine--Research--Statistical methods.

Medicine.

Bayesian statistical decision theory.

Biomedical Research--statistics & numerical data.

Bayes Theorem.

Medical Subjects:

Biomedical Research--statistics & numerical data.

Bayes Theorem.

Physical Description:

xvii, 258 pages : illustrations ; 25 cm

Place of Publication:

Boston : Kluwer Academic, [2004]

Summary:

Applied Bayesian Statistical Studies in Biology and Medicine 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. Nevertheless, even though the authors talk about marine biology, physical anthropology, social medicine, population genetics, et cetera, many of the procedures can be traced back to the same fundamental and very common techniques, (i.e., diagnosis and classification, clinical trials, Monte Carlo methods). The book opens with a critical discussion of the relationships between statistiicans and researchers written by Professor D. V. Lindley.

This volume can serve as a guide for young biologists and physicians who wish to become familiar with the most modern tools of statistical inference (for example non-parametric discriminant analysis, hierarchical models and related computational techniques).

Contents:

1 Some reflections on the current state of statistics / D. V. Lindley 1

2 Answering two biological questions with a latent class model via MCMC applied to capture-recapture data / F. Bartolucci, A. Mira, L. Scaccia 7

3 On the Bayesian inference of the Hardy-Weinberg equilibrium model / F. Bertolino, A. Ratto 25

4 Identifying a Bayesian Network for the problem "Hospital and families: the analysis of patient satisfaction with their stay in hospital" / A. Brogini, M. Bolzan, D. Slanzi 41

5 Reliability of GIST diagnosis based on partial information / A. Capotorti, S.F. Leite 73

6 Comparing two groups or treatments-a Bayesian approach / J. Deely 89

7 Two experimental settings in clinical trials: predictive criteria for choosing the sample size in interval estimation / F. De Santis, M. Perone Pacifico 109

8 Attributing a paleoanthropological specimen to a prehistoric population: a Bayesian approach with multivariate B-spline functions / P. Frederic, G. D'Amore, E. Pacciani 131

9 An example of the subjectivist statistical method for learning from data: Why do whales strand when they do? / F. Lad 153

10 Development and communication of Bayesan methodology for medical device clinical trials / A. J. O'Malley 189

11 An adaptive SIR algorithm for Bayesian multilevel inference on categorical data / S. Pezzulli 221

12 Age at death diagnosis by cranial suture obliteration: a Bayesian approach / A. Rinaldi, E. Pacciani, M. Di Bacco 239

13 Bayesian estimation of restriction fragment length from electrophoretic analysis / J. Shoemaker, A. Rinaldi 251.

Notes:

Includes bibliographical references.

ISBN:

1402075480

OCLC:

53091363