Front Matter
 Part I Analysis of Survival and Longitudinal Data
 Chapter 1 Non- and Semi- Parametric Modeling in Survival Analysis Jianqing Fan, Jiancheng Jiang
  1 Introduction
  2 Cox’s type of models
  3 Multivariate Cox’s type of models
  4 Model selection on Cox’s models
  5 Validating Cox’s type of models
  6 Transformation models
  7 Concluding remarks
  References
 Chapter 2 Additive-Accelerated Rate Model for Recurrent Event Donglin Zeng, Jianwen Cai
  1 Introduction
  2 Inference procedure and asymptotic properties
  3 Assessing additive and accelerated covariates
  4 Simulation studies
  5 Application
  6 Remarks
  Acknowledgements
  Appendix
  References
 Chapter 3 An Overview on Quadratic Inference Function Approaches for Longitudinal Data
  John J. Dziak, Runze Li, Annie Qu
  1 Introduction
  2 The quadratic inference function approach
  3 Penalized quadratic inference function
  4 Some applications of QIF
  5 Further research and concluding remarks
  Acknowledgements
  References
 Chapter 4 Modeling and Analysis of Spatially Correlated Data Yi Li
  1 Introduction
  2 Basic concepts of spatial process
  3 Spatial models for non-normal/discrete data
  4 Spatial models for censored outcome data
  5 Concluding remarks
  References
 Part II Statistical Methods for Epidemiology
 Chapter 5 Study Designs for Biomarker-Based Treatment Selection Amy Laird, Xiao-Hua Zhou
  1 Introduction
  2 Denition of study designs
  3 Test of hypotheses and sample size calculation
  4 Sample size calculation
  5 Numerical comparisons of eciency
  6 Conclusions
  Acknowledgements
  Appendix
  References
 Chapter 6 Statistical Methods for Analyzing Two-Phase Studies Jinbo Chen
  1 Introduction
  2 Two-phase case-control or cross-sectional studies
  3 Two-phase designs in cohort studies
  4 Conclusions
  References
 Part III Bioinformatics
 Chapter 7 Protein Interaction Predictions from Diverse Sources Yin Liu, Inyoung Kim, Hongyu Zhao
  1 Introduction
  2 Data sources useful for protein interaction predictions
  3 Domain-based methods
  4 Classication methods
  5 Complex detection methods
  6 Conclusions
  Acknowledgements
  References
 Chapter 8 Regulatory Motif Discovery: From Decoding to Meta-Analysis Qing Zhou, Mayetri Gupta
  1 Introduction
  2 A Bayesian approach to motif discovery
  3 Discovery of regulatory modules.
  4 Motif discovery in multiple species
  5 Motif learning on ChIP-chip data
  6 Using nucleosome positioning information in motif discovery
  7 Conclusion.
  References.
 Chapter 9 Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays Cheng Li, Samir Amin.
  1 Background.
  2 Loss of heterozygosity analysis using SNP arrays
  3 Copy number analysis using SNP arrays
  4 High-level analysis using LOH and copy number data
  5 Software for cancer alteration analysis using SNP arrays
  6 Prospects
  Acknowledgements
  References
 Chapter 10 Analysis of ChIP-chip Data on Genome Tiling Microarrays W. Evan Johnson, Jun S. Liu, X. Shirley Liu
  1 Background molecular biology
  2 A ChIP-chip experiment
  3 Data description and analysis
  4 Follow-up analysis
  5 Conclusion.
  References.
 Subject Index
 Author Index
 彩插
 版权