New Frontiers of Biostatistics and Bioinformatics

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case a...

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Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydavateľské údaje: Cham : Springer International Publishing, 2018.
Vydanie:1st ed. 2018.
Edícia:ICSA Book Series in Statistics,
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ISBN:9783319993898
ISSN:2199-0980
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Obsah:
  • Chapter1. Importance of Adjusting for Multi-Stage Design when Analyzing Data from Complex Surveys
  • Chapter2. A selective overview of semiparametric mixture of regression models
  • Chapter3. Estimating the Confidence Interval of Evolutionary Stochastic Process Mean from Wavelet based Bootstrapping
  • Chapter4. A New Wavelet-Based Approach for Mass Spectrometry Data Classification
  • Chapter5. Identification of Pathway-Modulating Genes using the Biomedical Literature Mining
  • Chapter6. Equivalence tests in subgroup analyses
  • Chapter7. Empirical Study on High-Dimensional Variable Selection and Prediction under Competing Risks
  • Chapter8. Learning Gene Regulatory Networks with High-Dimensional Heterogeneous Data
  • Chapter9. Discriminant Analysis and Normalization Methods for Next-generation Sequencing Data
  • Chapter10. Rank-based Empirical Likelihood for Regression Models with Responses Missing at Random
  • Chapter11. Nonparametric Estimation of a Hazard Rate Function with Right Truncated Data
  • Chapter12. On the landmark survival model for dynamic prediction of event occurrence using longitudinal data
  • Chapter13. Analysis of the High School Longitudinal Study to Evaluate Associations Among Mathematics Achievement, Mentorship and Student Participation in STEM Programs
  • Chapter14. OptimalWeightedWilcoxon-Mann-Whitney Test for Prioritized Outcomes
  • Chapter15. Wavelet-based profile monitoring using order-thresholding recursive CUSUM schemes
  • Chapter16. Bayesian Nonparametric Spatially Smoothed Density Estimation
  • Chapter17. Nonparametric Estimation of a Cumulative Hazard Function with Right Truncated Data
  • Chapter18. Mammogram Diagnostics Using Robust Wavelet-based Estimator of Hurst Exponent
  • Chapter19. Statistical Power and Bayesian Assurance in Clinical Trial Design
  • Chapter20. Predicting Confidence Interval for the Proportion at the Time of Study Planning in Small Clinical Trials
  • Chapter21. Performance evaluation of normalization approaches for metagenomic compositional data on differential abundance analysis
  • Chapter22. Statistical Modeling for the Heart Disease Diag-nosis via Multiple Imputation.