Handbook of Statistics book cover

Handbook of Statistics

Bioinformatics in Human Health and Heredity

The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments.

The Handbook of Statistics, a series of self-contained reference books. Each volume is devoted to a particular topic in statistics with Volume 28 dealing with bioinformatics. Every chapter is written by prominent workers in the area to which the volume is devoted. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriented techniques, with the applied statistician in mind as the primary audience.

Audience

Statisticians and scientists in various disciplines who use statistical methodology in their work

Included in series
Handbook of Statistics

Hardbound, 612 Pages

Published: August 2012

Imprint: North-holland

ISBN: 978-0-444-51875-0

Contents

  • Chapter 1: Introduction: Wither Bioinformatics in Human Health and Heredity, by R. Chakraborty, P. K. Sen, and C. R. Rao
    Section A: Microarray Analysis
    Chapter 2: Hierarchical Bayesian Methods for Microarray Data, by T. Love and A. Carriquiry
    Chapter 3: Statistical Analysis of Time-Course and Dose-Response Microarray Experiments, by S.D. Peddada, D.M. Umbach and S. Harris
    Chapter 4: Meta-analysis of High Throughput Oncology Data, by J.C. Miecznikowski,  D. Wang, D.L. Gold, S.Liu
    Section B: Analytical Methods
    Chapter 5: A Statistical Appraisal of Biomarker Selection Methods Applicable to HIV/AIDS Research, by B.J. Pierre-Louis, C. M. Suchindran, Pai-Lien Chen, S.R. Cole and C.S. Morrison
    Chapter 6: The use of Hamming Distance in Bioinformatics, by A. Pinheiro, H. Prisco Pinheiro, P.K. Sen
    Chapter 7: Asymptotic Expansion of the Distributions of the Least Squares Estimators in Factor Analysis and Structural Equation Modeling, by H. Ogasawara
    Chapter 8: Multiple Testing and False Discovery Rate Issues in Bioinformatics, by M. Bhaskara Rao, H. Bannerman-Thompson and R. Chakraborty
    Section C: Genetics and DNA Forensics
    Chapter 9: Applications of Bayesian Neural Networks in Prostate Cancer Study, by S. Chakraborty and M. Ghosh
    Chapter 10: Statistical Methods for Detecting Functional Divergence of Gene Families, by Xun Gu
    Chapter 11: Sequence Pattern Discovery with Applications to Understanding Gene Regulation and Vaccine Design, by M. Gupta and S. Ray
    Chapter 12: Single-locus Association Tests by Ordered Statistics, by G. Zhang, L. Jin and  R. Chakraborty
    Chapter 13: A Molecular Information Method to Estimate Population Admixture, by B. Bertoni, T. Velazquez, M. Sans and R. Chakraborty
    Chapter 14: Effects of Inclusion of Relatives in DNA Databases: Empirical Observations from 13K SNPs in Hap-Map Population Data, by S. Guha, J. Ge and R. Chakraborty
    Section D: Epidemiology
    Chapter 15: Measurement and Analysis of Quality of Life in Epidemiology, by Mounir Mesbah
    Chapter 16: Quality of Life Perspectives in Chronic Disease and Disorder Studies, by G. Tunes da Silva,
    A.C.P. Lima, and  P.K. Sen
    Chapter 17: Bioinformatics of Obesity, by B.M. Chakraborty and R. Chakraborty
    Chapter 18: Exploring Genetic Epidemiology Data with Bayesian Networks, by A. Rodin and E. Boerwinkle
    Section E: Database Issues
    Chapter 19: Perturbation Methods for Protecting Numerical Data: Evolution and Evaluation, by R. Sarathy and K. Muralidhar
    Chapter 20: Protecting Data Confidentiality in Public Release Datasets: Approaches Based on Multiple Imputation, by J.P. Reiter

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