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1.

電子ブック

EB
edited by Naitee Ting, Joseph C. Cappelleri, Shuyen Ho, (Din) Ding-Geng Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-40105-4
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目次情報: 続きを見る
1. Data-driven and Confirmatory Subgroup Analysis in Clinical Trials
2. Subgroup Analysis – A View from Industry
3. Biomarker-Targeted Confirmatory Trials
4. Considerations on Subgroup Analysis in Design and Analysis of Multi-Regional Clinical Trials
5. Practical Subgroup Identification Strategies in Late-stage Clinical Trials
6. Exploratory Subgroup Identification for Biopharmaceutical Development
7. Logical Inference on Treatment Efficacy When Subgroup Exists
8. The GUIDE Approach to Subgroup Identification and Inference
9. Use of the VG (Virtual Twins Combined with GUIDE) Method in the Development of Precision Medicines
10. Subgroups Identification for Tailored Therapies: a System of Methods, a Framework for Consistent Methodology Evaluation, and an Integrated Learn-and-confirm Approach
11. Developing and Validating Predictive Classifiers in Randomized Clinical Trials
12. Issues Related to Subgroup Analysis
13. Subgroup Analysis with Partial Linear Model
14. Subgroup Analysis in the 21st Century
15. Power of Statistical Tests for Subgroup Analysis in Meta-Analysis
16. Heterogeneity and Subgroup Analysis in Network Meta-Analysis
1. Data-driven and Confirmatory Subgroup Analysis in Clinical Trials
2. Subgroup Analysis – A View from Industry
3. Biomarker-Targeted Confirmatory Trials
2.

電子ブック

EB
by Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-48904-5
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1. Introduction to Binary Regression Models
2. Generalized Estimating Equations Binary Models
3. Lai and Small Models for Time-Dependent Covariates
4. Lalonde, wilson, and Yin Models for Time-Dependent Covariates
5. Irimata, Broatch, and Wilson Models for Time-Dependent Covariates
6. Bayesian GMM to IBW Method of Analysis
7. Models for Joint Responses for Time-Dependent Covariates
8. Other Models for Time-Dependent Covariates
1. Introduction to Binary Regression Models
2. Generalized Estimating Equations Binary Models
3. Lai and Small Models for Time-Dependent Covariates
3.

電子ブック

EB
edited by Andriëtte Bekker, (Din) Ding-Geng Chen, Johannes T. Ferreira
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-42196-0
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1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran)
2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy)
3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa)
4. Spatial Interpolation Of Extreme PM1 Values Using Copulas - by Alfred Stein, Fakhereh Alidoost and Vera van Zoest (University of Twente, The Netherlands)
5. Distributional Aspects Of The Condition Number From A Unified Complex Wishart Setting - by Johannes Ferreira and Andriëtte Bekker (University of Pretoria, South Africa)
6. Weighted Bivariate Pólya-Aeppli Type Ii Distributions - by Claire Geldenhuys and René Ehlers (University of Pretoria, South Africa)
7. On The Distribution Of Linear Combinations Of Chi-Square Random Variables - by Carlos A. Coelho (Universidade Nova de Lisboa, Portugal)
8. Constructing Multivariate Distributions Using The Dirichlet As A Baseline - by Seite Makgai (University of Pretoria, South Africa), Mohammad Arashi (Shahrood University of Technology, Iran), Daan de Waal (University of the Free State), and Andriëtte Bekker (University of Pretoria, South Africa)
9. Evaluating Risk Measures Using The Normal Mean-Variance Birnbaum-Saunders Distribution - by Mehrdad Naderi (University of Pretoria, South Africa), Ahad Jamalizadeh (Shahid Bahonar University, Iran), Wan-Lun Wang (Feng Chia University, Taiwan), Tsung-I Lin (National Chung Hsing University, Taiwan)
10. On High-Dimensional Multivariate Bayesian Geostatistics - by Sudipto Banerjee (University of California, USA)
11. On Improving The Performance Of Logistic Regression Analysis Via Extreme Ranking - by Hani M. Samawi (Georgia Southern University, USA)
12. Optimal Sample Size Allocation For Multi-Level Stress Testing With Extreme Value Regression Under Time Censoring - by Ping Shing Chan (The Chinese University of Hong Kong, Hong Kong),Hon Yiu So (University of Waterloo, Canada), Hon Keung Tony Ng (Southern Methodist University, USA) and Wei Gao (Northeast Normal University, China)
13. Robust Mixtures Of Scale Mixtures In The Exponential Family - by Frans Kanfer and Sollie Millard (University of Pretoria, South Africa)
14. Variable Selection Of Interval-Censored Failure Time Data - by Tony Sun (University of Missouri, USA)
15. On The Design Of A Platform Trial For The Treatment Of Recurrent Clostridium Difficile Infection By Fecal Microbiota Transplantation - by Christine H. Lee (Royal Jubilee Hospital, Canada), Dina Kao (University of Alberta, Canada), Theodore Steiner (University of Vancouver, Canada), Augustine Wigle (University of Guelph, Canada) and Peter T. Kim (University of Guelph, Canada)
16. Recent Advances In Bayesian Adaptive Designs And Applications - by J. Jack Lee (University of Texas, USA)
17. Generalizability Theory For Clinician-Rated Outcomes - by Joseph C. Cappelleri (Executive Director of Biostatistics, Pfizer Inc)
18. Simultaneous Variable Selection And Estimation In Generalized Semiparametric Mixed Effect Modeling Of Longitudinal Data - by Mozhgan Taavoni and Mohammad Arashi (Shahrood University of Technology, Iran)
19. Generalized Rayleigh-Exponential-Weibull Distribution and its Application to Modelling of Progressive Type-I Interval Censored Data - by Ding-Geng Chen (University of Pretoria) and Y. L. Lio (University of South Dakota)
20. Applications Of Spatial Statistics In Poverty Alleviation In China - by Yong Ge (State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources Research, China)
21. Using Improved Robust Estimators In Semiparametric Models For High Dimensional Data - by Mahdi Roozbeh and Mina Norouzirad (Semnan University, Iran)
22. GMM marginal models with time dependent covariates - by Elsa Vazquez (Arizona State University) and Jeffrey R Wilson (Arizona State University)
1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran)
2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy)
3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa)
4.

電子ブック

EB
edited by Xinguang Chen, (Din) Ding-Geng Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: ICSA Book Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-35260-8
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目次情報: 続きを見る
Existent Data Sources for Global Health and Epidemiology
Satellite Imagery Data for Global Health and Epidemiology
GIS/GPS-Assisted Probability Sampling in Resource-Limited Settings
Construal-Level Theory Supported Methods for Sensitive Topics: Applications in Three Different Populations
Integrative Data Analysis and Application in Global Health
Introduction to Privacy-Preserving Data Collection and Sharing Methods for Global Health Research
Geographic Mapping for Global Health Research
A 4D-Indicator System of Count, P Rate, G Rate and PG Rate for Epidemiology and Global Health
Historical Trends in Mortality Risk over a 100-Year Period in China with Recent Data-An Innovative Application of APC Modeling
Moore-Penrose Generalized-Inverse Solution to APC Modeling for Historical Epidemiology and Global Health
Mixed Effects Modeling of Multi-Site Data-Health Behaviors among Adolescents in Hong Kong, Macao, Taipei, Wuhan and Zhuhai
Geographically Weighted Regression for Global Epidemiological Research
Bayesian Spatial-Temporal Disease Modeling With Application to Malaria
"Efficient Biosurveillance By A Statistical Process Control Chart Using Covariates"
Cusp Catastrophe Regression Analysis of Testosterone in Bifurcating the Age-Related Changes in PSA, a Biomarker for Prostate Cancer
Logistic Cusp Catastrophe Regression for Binary Outcome: Method Development and Empirical Testing
Existent Data Sources for Global Health and Epidemiology
Satellite Imagery Data for Global Health and Epidemiology
GIS/GPS-Assisted Probability Sampling in Resource-Limited Settings
5.

電子ブック

EB
edited by Yichuan Zhao, (Din) Ding-Geng Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-72437-5
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目次情報: 続きを見る
1. Alternative Capture-Recapture Point and Interval Estimators Based on Two Surveillance Streams – Lyles, Wilkinson, Williamson, Chen, Taylor, Jambai, Kaiser
2. On-Gaussian Model Based Object Tracking Analysis with Time Lapse Fluorescence Microscopy Images – Marcus, Kong
3. Detecting Changepoint in Gene Expressions over Time: An Application to Childhood Obesity – Mathur, Sung
4. How “Big” Are EHR Data? The Effective Sample Size of EHR Data Under Biased Sampling – Hubbard
5. A Nested Clustering Method to Detect and Cluster Transgenerational DNA Methylation Sites via Beta Regressions – Wang, Zhang, Han, Arshad, Karmaus
6. Controlling the False Discovery Rate of Grouped Hypotheses – MacDonald, Wilson, Liang, Qin
7. Approaches to Combining Phase II Proof-of-Concept and Dose-Finding Trials – Ting
8. On the Multiply Robust Estimation with Missing Data – Chen, Haziza
9. Recent Advances in Spectral Clustering and Their Applications in Bioinformatics – Xue
10. Functional Data Modeling and Hypothesis Testing for Longitudinal Alzheimer Genome-Wide Association Studies – Li, Xu, Liu
11. Misuse of Classifiers in Biological Networks – Maharaj
12. A Selective Inference-based Two-stage Procedure for Clinical Safety Studies – Zhu, Guo
13. Inferring Stage of HCV Infections as Recent or Chronic by Machine Learning approach – Icer
14. Graphical Modeling of Multiple Biological Pathways in Genomic Studies – Cao, Zhang, Chen, Wang
15. Online Updating of Nonparametric Survival Estimator and Nonparametric Survival Test – Xue, Schifano, Hu
16. Mixed-Effects Negative Binomial Regression with Interval Censoring: A Simulation Study and Application to Precipitation and All-Cause Mortality Rates among Black South Africans over 1997-2013 – Landon, Lyles, Scovronick, Abadi, Bilotta, Hauer, Bell, Gribble
17. SAS Macros for Linear Mediation Analysis of Complex Survey Data Using Balanced Repeated Replication – Mai, Zhang
18. Joint Modeling of Multiple Skewed Longitudinal Processes with Excess of Zero and Time-to-Event: An Application to Fecundity Studies – Mirzaei, Kundu, Sundaram
19. Infectious Disease Epidemiology: Forecasting the Ongoing 2018-19 Ebola Epidemic in the Democratic Republic of Congo (DRC) Using Phenomenological Growth Models – Tariq, Chowell
20. Models and Estimation Methods for Item Factor Analysis: An Overview – Chen, Zhang
1. Alternative Capture-Recapture Point and Interval Estimators Based on Two Surveillance Streams – Lyles, Wilkinson, Williamson, Chen, Taylor, Jambai, Kaiser
2. On-Gaussian Model Based Object Tracking Analysis with Time Lapse Fluorescence Microscopy Images – Marcus, Kong
3. Detecting Changepoint in Gene Expressions over Time: An Application to Childhood Obesity – Mathur, Sung