Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Chang, Mark
Titre(s) : Modern issues and methods in biostatistics [Texte électronique] / Mark Chang
Publication : New York : Springer, 2011
Description matérielle : 1 ressource dématérialisée
Collection : Statistics for biology and health
Note(s) : Includes bibliographical references and index
[Publisher-supplied data] Classic biostatistics, a branch of statistical science,
has as its main focus the applications of statistics in public health, the life sciences,
and the pharmaceutical industry. Modern biostatistics, beyond just a simple application
of statistics, is a confluence of statistics and knowledge of multiple intertwined
fields. The application demands, the advancements in computer technology, and the
rapid growth of life science data (e.g., genomics data) have promoted the formation
of modern biostatistics. There are at least three characteristics of modern biostatistics:
(1) in-depth engagement in the application fields that require penetration of knowledge
across several fields, (2) high-level complexity of data because they are longitudinal,
incomplete, or latent because they are heterogeneous due to a mixture of data or experiment
types, because of high-dimensionality, which may make meaningful reduction impossible,
or because of extremely small or large size; and (3) dynamics, the speed of development
in methodology and analyses, has to match the fast growth of data with a constantly
changing face. This book is written for researchers, biostatisticians/statisticians,
and scientists who are interested in quantitative analyses. The goal is to introduce
modern methods in biostatistics and help researchers and students quickly grasp key
concepts and methods. Many methods can solve the same problem and many problems can
be solved by the same method, which becomes apparent when those topics are discussed
in this single volume
Sujet(s) : Biométrie
Indice(s) Dewey :
570.151 95 (23e éd.) = Biologie - Statistique mathématique
Identifiants, prix et caractéristiques : ISBN 9781441998422
Identifiant de la notice : ark:/12148/cb446622904
Notice n° :
FRBNF44662290
(notice reprise d'un réservoir extérieur)
Table des matières : Multiple-hypothesis testing strategy ; Pharmaceutical decision and game theory ;
Noninferiority trial design ; Adaptive trial design ; Missing data imputation and
analysis ; Multivariate and multistage survival data modeling ; Meta-analysis ;
Data mining and signal detection ; Monte Carlo simulation ; Bayesian methods and
applications.
