
New Developments In Biostatistics And Bioinformatics
World Scientific Publishing Co Pte Ltd
Published on 30. April 2009
Book
Hardback
300 pages
978-981-283-743-1 (ISBN)
Description
This book presents an overview of recent developments in biostatistics and bioinformatics. Written by active researchers in these emerging areas, it is intended to give graduate students and new researchers an idea of where the frontiers of biostatistics and bioinformatics are as well as a forum to learn common techniques in use, so that they can advance the fields via developing new techniques and new results. Extensive references are provided so that researchers can follow the threads to learn more comprehensively what the literature is and to conduct their own research. In particulars, the book covers three important and rapidly advancing topics in biostatistics: analysis of survival and longitudinal data, statistical methods for epidemiology, and bioinformatics.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Graduate students in statistics and biostatistics; researchers in biomedical studies.
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 241 mm
Width: 173 mm
Thickness: 23 mm
Weight
680 gr
ISBN-13
978-981-283-743-1 (9789812837431)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Analysis of Survival and Longitudinal Data: Nonparametric and Semiparametric Modeling in Survival Analysis (J Fan & J Jiang); Additive-Accelerated Rate Model for Recurrent Event (G Zeng & J Cai); Modeling and Analysis of Spatially Correlated Data (Y Li); Statistical Methods for Epidemiology: Study Designs for Biomarker-based Treatment Selection (A Laird & X-H Zhou); Statistical Methods for Analyzing Two-Phase Studies (J Chen); Bioinformatics: Protein Interaction Predictions from Diverse Sources (Y Liu et al.); Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays (C Li & S Amin); Analysis of ChIP-Chip Data on Genome Tiling Microarrays (W E Johnson et al.); and other papers.