New Advances in Statistics and Data Science. (Record no. 1042020)

001 - CONTROL NUMBER
control field EBC5228473
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
additional material characteristics m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190119s2018 xx o ||||0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319694160
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9783319694153
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC5228473
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL5228473
035 ## - SYSTEM CONTROL NUMBER
System control number (CaPaEBR)ebr11500522
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1020699626
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280HF5548.125-
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA276-280HF5548.125-
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chen, Ding-Geng.
245 10 - TITLE STATEMENT
Title New Advances in Statistics and Data Science.
264 #1 -
-- Cham :
-- Springer,
-- 2018.
264 #4 -
-- ©2018.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (355 pages)
336 ## - Content
Term text
Code txt
Content rdacontent
337 ## - Media
Term computer
Code c
Media rdamedia
338 ## - Carrier
Term online resource
Code cr
Carrier rdacarrier
490 0# - SERIES STATEMENT
Series statement eBooks on Demand
490 1# - SERIES STATEMENT
Series statement ICSA Book Series in Statistics Ser.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Intro -- Preface -- Part I: Review and Theoretical Framework in Data Science (Chapters 1 -5) -- Part II: Complex and Big Data Analysis (Chapters 6 -10) -- Part III: Clinical Trials, Statistical Shape Analysis, and Applications (Chapters 11 -14) -- Part IV: Statistical Modeling and Data Analysis (Chapters 15 -19) -- Contents -- Contributors -- About the Editors -- List of Chapter Reviewers -- Part I Review and Theoretical Framework in Data Science -- Statistical Distances and Their Role in Robustness -- 1 Introduction -- 2 The Discrete Setting -- 3 Chi-Squared Distance Measures -- 3.1 Loss Function Interpretation -- 3.2 Loss Analysis of Pearson and Neyman Chi-Squared Distances -- 3.3 Metric Properties of the Symmetric Chi-Squared Distance -- 3.4 Locally Quadratic Distances -- 4 The Continuous Setting -- 4.1 Desired Features -- 4.2 The L2- .4 -Distance -- 4.3 The Kolmogorov-Smirnov Distance -- 4.4 Exactly Quadratic Distances -- 5 Discussion -- References -- The Out-of-Source Error in Multi-Source Cross Validation-Type Procedures -- 1 Introduction -- 2 Literature Review and Notation -- 3 Framework -- 4 The OOS Error Estimation -- 4.1 Estimating the OOS Error -- 4.2 Bias and Variance of μ0 -- 090d"0362 μμ0 -- 090d"0362 μμ0 -- 090d"0362 μμ0 -- 090d"0362 μos- .4 -- 4.3 On Variance Estimation -- 5 Simulation Study -- 6 Discussion -- Appendix 1: Some Useful Relations -- Appendix 2: On Moments of Bivariate Normal Distribution -- Appendix 3: Proofs -- References -- Meta-Analysis for Rare Events As Binary Outcomes -- 1 Introduction -- 2 Methods -- 2.1 Non-Parametric Meta-Analysis -- 2.1.1 Mantel-Haenszel Method -- 2.1.2 Peto Odds Ratio -- 2.1.3 Exact Method of Constructing Confidence Intervals for Risk Differences (Tian et al. 2009) -- 2.2 Parametric Meta-Analysis -- 2.2.1 Random-Effects Regression Model -- 2.2.2 Random-Effects Beta-Binomial Model.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.2.3 Random-Effects Poisson Model -- 2.3 Parametric Bootstrap Resampling Meta-Analysis -- 3 Case Studies -- 3.1 A Rosiglitazone Meta-Analysis Study -- 3.2 A Transplant Extrapolation Study with Everolimus -- 4 Summary -- Appendix: Data for the rosiglitazone meta-analysis study from Nissen and Wolski (2007) -- References -- New Challenges and Strategies in Robust Optimal Design for Multicategory Logit Modelling -- 1 Introduction -- 2 Quantal Dose-Response Modelling -- 3 Confidence Regions and Intervals -- 4 Optimal Design Theory -- 5 Near-Optimal Robust Design Strategies -- 6 Discussion -- References -- Testing of Multivariate Spline Growth Model -- 1 Introduction -- 2 Modeling Growth with Smooth Functions -- 3 Testing of Mean Curves -- 3.1 Spline Approximation -- 3.2 Constructing a Test for Mean Spline Curves -- 4 Multivariate Spline Growth Curve Model -- 5 Computational Example: Modeling in Behavioral Cardiology -- References -- Part II Complex and Big Data Analysis -- Uncertainty Quantification Using the Nearest Neighbor GaussianProcess -- 1 Introduction -- 2 Methods -- 2.1 Modeling with Gaussian Process -- 2.2 Bayesian Inference and Computational Considerations -- 3 Simulation Experiments -- 4 Application: Uncertainty Quantification for Surface Data -- 5 Conclusions and Discussion -- References -- Tuning Parameter Selection in the LASSO with UnspecifiedPropensity -- 1 Introduction -- 2 Model and Method -- 3 Tuning Parameter Selection in the LASSO -- 3.1 Multifold Cross Validation (CV) -- 3.2 Bayesian Information Criterion (BIC) -- 3.3 Variable Selection Stability (VSS) -- 3.4 Estimation Stability (ESCV) -- 4 Simulation Studies -- 5 Melanoma Study -- 6 Discussion -- References -- Adaptive Filtering Increases Power to Detect Differentially Expressed Genes -- 1 Introduction -- 2 Existing Filtering Methods -- 3 Proposed Method.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4 A Data-Based Simulation Study -- 5 Conclusion -- References -- Estimating Parameters in Complex Systems with Functional Outputs: A Wavelet-Based Approximate Bayesian Computation Approach -- 1 Introduction -- 2 A Motivating Example: The Foliage-Echo Simulation System -- 3 Wavelet-Based Approximate Bayesian Computation -- 3.1 Review of Approximate Bayesian Computation -- 3.2 Wavelet Representation and Compression of Functional Data -- 3.3 A Gaussian Process Surrogate for the Simulator -- 3.4 Control the Uncertainty of Decision-Making in wABC Using GPS -- 4 The Algorithm and Parameter Settings -- 5 The Analysis of Simulated Foliage-Echo Data -- 6 Discussion -- Appendix: More Details of the Foliage-Echo Simulator -- References -- A Maximum Likelihood Approach for Non-invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood -- 1 Introduction -- 2 Methods -- 2.1 Model the Methylation Probabilities -- 2.2 Estimate the Composition of Tumor-Derived cfDNA Using Methylation Data -- 2.3 Simulate the Methylation Sequencing Data of Plasma cfDNA Samples -- 2.4 Cancer Prediction Using Estimated Fraction of Tumor-Derived cfDNA and Evaluation Criteria -- 2.5 Applications to Real Data -- 3 Results -- 3.1 Estimation Accuracy Increases with Sequencing Depth and Fraction of Tumor-Derived cfDNA in Simulation Data -- 3.2 Estimated Fraction of Tumor-Derived cfDNA in Real Blood Samples Can Predict Normal from Liver Cancer Patients -- 3.3 The Fractions of Tumor-Derived cfDNA in the Blood of Liver Cancer Patients Are Significantly Decreased After Surgery -- 4 Discussion and Conclusions -- References -- Part III Clinical Trials, Statistical Shape Analysis and Applications -- A Simple and Efficient Statistical Approach for Designing an Early Phase II Clinical Trial: Ordinal Linear Contrast Test -- 1 Introduction -- 2 Notation and Assumptions.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.1 Model Description -- 2.2 Monotonicity -- 2.3 Family-Wise Error Rate -- 3 Statistical Methods -- 3.1 Ordinal Linear Contrast Test -- 3.2 MCP-Mod -- 3.3 ANOVA F Test -- 3.4 MaxT Test -- 4 Dose Ranging -- 5 Method Comparisons -- 5.1 OLCT Approach -- 5.2 MCP-Mod Approach -- 5.3 ANOVA Approach -- 5.4 MaxT Approach -- 5.5 Comparisons -- 5.6 When to Use MCP-Mod and When Not? -- 5.7 When to Use OLCT and When Not? -- 5.8 Limitations of ANOVA F Test -- 6 Discussion -- References -- Landmark-Constrained Statistical Shape Analysis of Elastic Curves and Surfaces -- 1 Introduction -- 2 Landmark-Constrained Shape Analysis -- 2.1 Unconstrained Representation Spaces of Curves and Surfaces -- 2.2 Landmark-Constrained Shape Space for Curves -- 2.3 Landmark-Constrained Shape Space for Surfaces -- 2.4 Motivating Examples -- 2.5 Additional Examples -- 3 Statistical Analysis of Landmark-Constrained Shapes -- 3.1 Sample Averaging -- 3.1.1 Examples -- 3.2 Summarization of Variability -- 3.2.1 Examples -- 4 Summary -- References -- Phylogeny-Based Kernels with Application to Microbiome Association Studies -- 1 Introduction -- 2 Methods -- 2.1 Phylogeny-Induced Correlation Structure Among OTUs -- 2.2 A Phylogeny-Based Kernel for Microbiome Data -- 2.3 Kernel-Machine (KM) Association Test -- 2.3.1 Single Kernel-Based KM Association Test -- 2.3.2 Multiple Kernel-Based Optimal KM Association Test -- 3 Simulation Studies -- 3.1 Simulation Details -- 3.2 Results on Simulated Data -- 4 Application to a Real Data Set -- 5 Discussion -- References -- Accounting for Differential Error in Time-to-Event Analyses Using Imperfect Electronic Health Record-Derived Endpoints -- 1 Introduction -- 2 Methods -- 2.1 Definitions and Notation -- 2.2 Discrete Proportional Hazards Model -- 2.3 Adjustment for Error in Event Times -- 2.4 Incorporating Person-Level Validation Data.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.5 Differential Error in Event Times -- 2.6 Simulation Study Design -- 3 Results -- 3.1 Non-differential Error in Dates -- 3.2 Differential Error in Dates -- 4 Discussion -- References -- Part IV Statistical Modeling and Data Analysis -- Modeling Inter-Trade Durations in the Limit Order Market -- 1 Introduction -- 2 Empirical Facts -- 3 Model and Estimation -- 3.1 Model Specification -- 3.2 Maximum Likelihood -- 4 Empirical Analysis -- 5 Conclusion -- References -- Assessment of Drug Interactions with Repeated Measurements -- 1 Introduction -- 2 Median Effect Model for Drug Combination Effects -- 2.1 Median Effect Model -- 2.2 Ray Design -- 2.3 Loewe Additivity -- 2.4 Drug Combination Effects with Repeated Measurements -- 3 Confidence Interval Estimation at the Observed Combination -- 4 Confidence Bound for Interaction Index on a Fixed Ray -- 5 Simulation Study -- 6 Application -- 7 Discussion -- References -- Statistical Indices for Risk Tracking in Longitudinal Studies -- 1 Introduction -- 2 Rank-Based Tracking Indices -- 2.1 Rank-Tracking Probabilities -- 2.2 Rank-Tracking Probability Ratios -- 2.3 Mean-Integrated RTPs and RTPRs -- 3 Estimation and Inference Methods -- 3.1 Nonparametric Mixed Models and Prediction -- 3.2 Estimation of Tracking Indices -- 3.3 Bootstrap Confidence Intervals -- 4 Application to the NGHS Data -- 4.1 Rank-Tracking for BMI -- 4.2 Rank-Tracking for SBP -- 5 Simulation -- 6 Discussion -- References -- Statistical Analysis of Labor Market Integration: A Mixture Regression Approach -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Multivariate Binary Mixture -- 3 Analysis -- 3.1 Normal Life-Course -- 3.2 Weak Labor Market Integration -- 4 Concluding Remarks -- Appendix -- References -- Bias Correction in Age-Period-Cohort Models Using Eigen Analysis -- 1 Introduction.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2 Age-Period-Cohort Model and the Identification Problem.
588 ## -
-- Description based on publisher supplied metadata and other sources.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
9 (RLIN) 13963
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jin, Zhezhen.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Gang.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Yi.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Liu, Aiyi.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhao, Yichuan.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Chen, Ding-Geng
Title New Advances in Statistics and Data Science
Place, publisher, and date of publication Cham : Springer,c2018
International Standard Book Number 9783319694153
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN)
Corporate name or jurisdiction name as entry element ProQuest (Firm)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title ICSA Book Series in Statistics Ser.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=5228473">https://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=5228473</a>
Link text Click here to view this ebook.
901 ## - LOCAL DATA ELEMENT A, LDA (RLIN)
Platform EBC
901 ## - LOCAL DATA ELEMENT A, LDA (RLIN)
Platform EBL
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Electronic Book
Source of classification or shelving scheme
Holdings
Withdrawn status Lost item Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
          UT Tyler Online UT Tyler Online Online 2019-02-07 QA276-280HF5548.125- EBC5228473 2019-02-07 https://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=5228473 2019-02-07 Electronic Book