ICSA Book Series in Statistics – serie

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57 produkter

Contemporary Biostatistics with Biopharmaceutical Applications
AvLanju Zhang,Ding-Geng (Din) Chenm. fl.
Inbunden, Engelska, 2019
1 131 kr
Skickas inom 10-15 vardagar
This edited volume presents current research in biostatistics with emphasis on biopharmaceutical applications. Featuring contributions presented at the 2017 ICSA Applied Statistics Symposium held in Chicago, IL on June 25 to 28, 2017, this book explores timely topics that have a high potential impact on statistical methodology and future research in biostatistics and biopharmaceuticals. The theme of this conference was Statistics for a New Generation: Challenges and Opportunities, in recognition of the advent of a new generation of statisticians. The conference attracted statisticians working in academia, government, and industry; domestic and international statisticians. From the conference, the editors selected 28 high-quality presentations and invited the speakers to prepare full chapters for this book. These contributions are divided into four parts: Part I Biostatistical Methodology, Part II Statistical Genetics and Bioinformatics, Part III Regulatory Statistics, and Part IV Biopharmaceutical Research and Applications.Featuring contributions on topics such as statistics in genetics, bioinformatics, biostatistical methodology, and statistical computing, this book is beneficial to researchers, academics, practitioners and policy makers in biostatistics and biopharmaceuticals.
Contemporary Biostatistics with Biopharmaceutical Applications
AvLanju Zhang,Ding-Geng (Din) Chenm. fl.
Häftad, Engelska, 2020
1 131 kr
Skickas inom 10-15 vardagar
This edited volume presents current research in biostatistics with emphasis on biopharmaceutical applications. Featuring contributions presented at the 2017 ICSA Applied Statistics Symposium held in Chicago, IL on June 25 to 28, 2017, this book explores timely topics that have a high potential impact on statistical methodology and future research in biostatistics and biopharmaceuticals. The theme of this conference was Statistics for a New Generation: Challenges and Opportunities, in recognition of the advent of a new generation of statisticians. The conference attracted statisticians working in academia, government, and industry; domestic and international statisticians. From the conference, the editors selected 28 high-quality presentations and invited the speakers to prepare full chapters for this book. These contributions are divided into four parts: Part I Biostatistical Methodology, Part II Statistical Genetics and Bioinformatics, Part III Regulatory Statistics, and Part IV Biopharmaceutical Research and Applications.Featuring contributions on topics such as statistics in genetics, bioinformatics, biostatistical methodology, and statistical computing, this book is beneficial to researchers, academics, practitioners and policy makers in biostatistics and biopharmaceuticals.
Statistical Quality Technologies
Theory and Practice
AvYuhlong Lio,Hon Keung Tony Ngm. fl.
Inbunden, Engelska, 2019
1 552 kr
Skickas inom 10-15 vardagar
This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.
Statistical Quality Technologies
Theory and Practice
AvYuhlong Lio,Hon Keung Tony Ngm. fl.
Häftad, Engelska, 2020
1 552 kr
Skickas inom 10-15 vardagar
This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.
Statistical Methods for Global Health and Epidemiology
Principles, Methods and Applications
AvXinguang Chen,(Din) Ding-Geng Chen
Inbunden, Engelska, 2020
1 468 kr
Skickas inom 10-15 vardagar
This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.
Statistical Methods for Global Health and Epidemiology
Principles, Methods and Applications
AvXinguang Chen,(Din) Ding-Geng Chen
Häftad, Engelska, 2021
1 468 kr
Skickas inom 10-15 vardagar
This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.
Sampling Theory and Practice
AvChangbao Wu,Mary E. Thompson
Inbunden, Engelska, 2020
1 317 kr
Skickas inom 10-15 vardagar
The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past threedecades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.
Sampling Theory and Practice
AvChangbao Wu,Mary E. Thompson
Häftad, Engelska, 2021
1 317 kr
Skickas inom 10-15 vardagar
The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past threedecades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.
Advances and Innovations in Statistics and Data Science
AvWenqing He,Liqun Wangm. fl.
Inbunden, Engelska, 2022
1 663 kr
Skickas inom 10-15 vardagar
This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.
Advances and Innovations in Statistics and Data Science
AvWenqing He,Liqun Wangm. fl.
Häftad, Engelska, 2023
1 663 kr
Skickas inom 10-15 vardagar
This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.
Emerging Topics in Modeling Interval-Censored Survival Data
AvJianguo Sun,Ding-Geng Chen
Inbunden, Engelska, 2022
2 190 kr
Skickas inom 10-15 vardagar
This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation.
Emerging Topics in Modeling Interval-Censored Survival Data
AvJianguo Sun,Ding-Geng Chen
Häftad, Engelska, 2023
2 190 kr
Skickas inom 10-15 vardagar
This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation.
Statistics in Precision Health
Theory, Methods and Applications
AvYichuan Zhao,Ding-Geng Chen
Inbunden, Engelska, 2024
2 817 kr
Skickas inom 10-15 vardagar
This book discusses statistical methods and their innovative applications in precision health. It serves as a valuable resource to foster the development of this growing field within the context of the big data era. The chapters cover a wide range of topics, including foundational principles, statistical theories, new procedures, advanced methods, and practical applications in precision medicine. Particular attention is devoted to the interplay between precision health, big data, and mobile health research, while also exploring precision medicine's role in clinical trials, electronic health record data analysis, survival analysis, and genomic studies. Targeted at data scientists, statisticians, graduate students, and researchers in academia, industry, and government, this book offers insights into the latest advances in personalized medicine using advanced statistical techniques.
Statistics in Precision Health
Theory, Methods and Applications
AvYichuan Zhao,Ding-Geng Chen
Häftad, Engelska, 2025
2 817 kr
Skickas inom 10-15 vardagar
This book discusses statistical methods and their innovative applications in precision health. It serves as a valuable resource to foster the development of this growing field within the context of the big data era. The chapters cover a wide range of topics, including foundational principles, statistical theories, new procedures, advanced methods, and practical applications in precision medicine. Particular attention is devoted to the interplay between precision health, big data, and mobile health research, while also exploring precision medicine's role in clinical trials, electronic health record data analysis, survival analysis, and genomic studies. Targeted at data scientists, statisticians, graduate students, and researchers in academia, industry, and government, this book offers insights into the latest advances in personalized medicine using advanced statistical techniques.
Innovative Designs and Analyses for Small Population Clinical Trials
Development Strategies and Operational Engagement for Pediatric and Rare Diseases
AvJingjing Ye,Lei Nie
Inbunden, Engelska, 2024
1 693 kr
Skickas inom 10-15 vardagar
This book discusses a multidisciplinary and multi-stakeholder collaborative approach to small population clinical trials. It provides and illustrates a systematic framework that depends upon a collaborative infrastructure between the patient community, patient advocacy groups, researchers and investigators, pharmaceutical companies, global regulatory agencies, and customers. The book also highlights the considerations of natural history and patient registry, diagnostic criteria determination, identification of clinically meaningful endpoints, and global regulatory guidance. The authors detail the nuances of clinical trial design as specific to small population disease, drawing from real examples.
Innovative Designs and Analyses for Small Population Clinical Trials
Development Strategies and Operational Engagement for Pediatric and Rare Diseases
AvJingjing Ye,Lei Nie
Häftad, Engelska, 2025
1 693 kr
Skickas inom 10-15 vardagar
This book discusses a multidisciplinary and multi-stakeholder collaborative approach to small population clinical trials. It provides and illustrates a systematic framework that depends upon a collaborative infrastructure between the patient community, patient advocacy groups, researchers and investigators, pharmaceutical companies, global regulatory agencies, and customers. The book also highlights the considerations of natural history and patient registry, diagnostic criteria determination, identification of clinically meaningful endpoints, and global regulatory guidance. The authors detail the nuances of clinical trial design as specific to small population disease, drawing from real examples.
Modeling Binary Correlated Responses
Using SAS, SPSS, R and STATA
AvJeffrey R. Wilson,Kent A. Lorenzm. fl.
Inbunden, Engelska, 2024
1 663 kr
Skickas inom 10-15 vardagar
This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages, as well as showcase both traditional and new methods for application to health-related research. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Short tutorials are in the appendix, for readers interested in learning more about the languages.Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, SPSS and STATA, allows for easy implementation by readers. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.
Modeling Binary Correlated Responses
Using SAS, SPSS, R and STATA
AvJeffrey R. Wilson,Kent A. Lorenzm. fl.
Häftad, Engelska, 2025
1 663 kr
Skickas inom 10-15 vardagar
This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages, as well as showcase both traditional and new methods for application to health-related research. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Short tutorials are in the appendix, for readers interested in learning more about the languages.Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, SPSS and STATA, allows for easy implementation by readers. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.
Dose Finding and Beyond in Biopharmaceutical Development
AvJingjing Ye,Ding-Geng Chenm. fl.
Inbunden, Engelska, 2024
2 408 kr
Skickas inom 10-15 vardagar
This book covers topics in 2 parts: 1) Review of FDA Guidance, 2) Novel Designs and Analyses. While covering basic principles of dose finding, this book details advancements made in drug development.Finding the right dose(s) is one of the most important objectives in new drug development. In Phase I clinical development, one of the objectives is to escalate test doses from low to high. The low doses should be safe, then escalate up to the maximally tolerable dose (MTD). Phase Ⅱ clinical trials then lower test doses to the minimal efficacious dose (MinED). Dose range of a study drug can be thought of as the doses between MinED and MTD. From this dose range, one or a few doses are selected for Phase Ⅲ confirmation. In practice, dose finding is a very difficult in every phase of clinical development for new drugs.The editors brought distinguished researchers and practitioners in biopharmaceuticals and universities, to discuss the statistical procedures, useful methods, and their novel applications in dose finding. The chapters in the book present emerging topics in dose-finding and related interdisciplinary areas. This timely book is a valuable resource to stimulate the development of this growing and exciting field in drug development.
Dose Finding and Beyond in Biopharmaceutical Development
AvJingjing Ye,Ding-Geng Chenm. fl.
Häftad, Engelska, 2025
1 753 kr
Skickas inom 10-15 vardagar
This book covers topics in 2 parts: 1) Review of FDA Guidance, 2) Novel Designs and Analyses. While covering basic principles of dose finding, this book details advancements made in drug development.Finding the right dose(s) is one of the most important objectives in new drug development. In Phase I clinical development, one of the objectives is to escalate test doses from low to high. The low doses should be safe, then escalate up to the maximally tolerable dose (MTD). Phase Ⅱ clinical trials then lower test doses to the minimal efficacious dose (MinED). Dose range of a study drug can be thought of as the doses between MinED and MTD. From this dose range, one or a few doses are selected for Phase Ⅲ confirmation. In practice, dose finding is a very difficult in every phase of clinical development for new drugs.The editors brought distinguished researchers and practitioners in biopharmaceuticals and universities, to discuss the statistical procedures, useful methods, and their novel applications in dose finding. The chapters in the book present emerging topics in dose-finding and related interdisciplinary areas. This timely book is a valuable resource to stimulate the development of this growing and exciting field in drug development.
Big Data Analytics in Biostatistics and Bioinformatics
AvYichuan Zhao,Ding-Geng Chen
Inbunden, Engelska, 2026
1 972 kr
Skickas inom 10-15 vardagar
This book focuses on big data analytics in biostatistics and bioinformatics. As a contributed volume, it seeks to stimulate the growth of this dynamic field in the era of artificial intelligence. By presenting an overview of recent advances in biostatistics and bioinformatics through advanced statistical and machine learning methods, the book offers valuable insights for data scientists and biostatisticians working in public health, neuroscience, and related disciplines.It is a useful reference for graduate students and researchers across academia, industry, and government.
From Independence to Feedback
A Staged Framework for Modeling Dependence in Longitudinal Data
AvNiloofar Ramezani,Lori P. Selbym. fl.
Inbunden, Engelska, 2026
1 368 kr
Kommande
This book presents a staged, pedagogically driven framework for modeling dependence in longitudinal binary data, integrating modern AI-assisted computational workflows throughout the analysis. Rather than treating correlation, hierarchy, and endogeneity as technical afterthoughts, the book positions dependence as the central structural feature of longitudinal data.The text develops a six-stage modeling progression:1. Pooled logistic regression (independence)2. Clustered standard errors and generalized estimating equations (GEE) (correlation)3. Two-stage feedback models (endogeneity)4. Joint hierarchical models (correlation + feedback + hierarchy)5. Bayesian joint hierarchical models (full uncertainty propagation)6. Integrative synthesis and model comparison.A defining feature of the book is its simulation-first pedagogy. Each modeling stage is motivated through controlled simulation studies that allow readers to observe bias, RMSE, coverage failures, and inferential distortions before introducing more advanced methods. The framework is then applied to a real longitudinal health dataset from the Philippines IFPRI Child Health and Nutrition Survey, demonstrating how modeling decisions materially affect scientific conclusionsThe book’s primary contributions are:• A unified framework linking independence, correlation, feedback, hierarchy, and Bayesian inference;• Clear treatment of endogenous covariates and dynamic feedback in binary longitudinal data;• Practical guidance for hierarchical and Bayesian modeling, including multiple membership structures;• Responsible AI-assisted analysis through prompt-based code generation, reproducible workflows, and verification of AI-generated results.
Applied Statistics in Biomedicine and Clinical Trials Design
Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings
AvZhen Chen,Aiyi Lium. fl.
Inbunden, Engelska, 2015
1 693 kr
Skickas inom 10-15 vardagar
This volume is a unique combination of papers that cover critical topics in biostatistics from academic, government, and industry perspectives. The 6 sections cover Bayesian methods in biomedical research; Diagnostic medicine and classification; Innovative Clinical Trials Design; Modelling and Data Analysis; Personalized Medicine; and Statistical Genomics. The real world applications are in clinical trials, diagnostic medicine and genetics. The peer-reviewed contributions were solicited and selected from some 400 presentations at the annual meeting of the International Chinese Statistical Association (ICSA), held with the International Society for Biopharmaceutical Statistics (ISBS). The conference was held in Bethesda in June 2013, and the material has been subsequently edited and expanded to cover the most recent developments.
Innovative Statistical Methods for Public Health Data
AvDing-Geng (Din) Chen,Jeffrey Wilson
Inbunden, Engelska, 2015
1 239 kr
Skickas inom 10-15 vardagar
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.
Applied Statistics in Biomedicine and Clinical Trials Design
Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings
AvZhen Chen,Aiyi Lium. fl.
Häftad, Engelska, 2016
1 687 kr
Skickas inom 10-15 vardagar
This volume is a unique combination of papers that cover critical topics in biostatistics from academic, government, and industry perspectives. The 6 sections cover Bayesian methods in biomedical research; Diagnostic medicine and classification; Innovative Clinical Trials Design; Modelling and Data Analysis; Personalized Medicine; and Statistical Genomics. The real world applications are in clinical trials, diagnostic medicine and genetics. The peer-reviewed contributions were solicited and selected from some 400 presentations at the annual meeting of the International Chinese Statistical Association (ICSA), held with the International Society for Biopharmaceutical Statistics (ISBS). The conference was held in Bethesda in June 2013, and the material has been subsequently edited and expanded to cover the most recent developments.
Innovative Statistical Methods for Public Health Data
AvDing-Geng (Din) Chen,Jeffrey Wilson
Häftad, Engelska, 2016
1 068 kr
Skickas inom 10-15 vardagar
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.
Modeling Binary Correlated Responses using SAS, SPSS and R
AvJeffrey R. Wilson,Kent A. Lorenz
Häftad, Engelska, 2016
725 kr
Skickas inom 5-8 vardagar
Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.
Statistical Causal Inferences and Their Applications in Public Health Research
AvHua He,Pan Wum. fl.
Inbunden, Engelska, 2016
1 575 kr
Skickas inom 10-15 vardagar
This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development. This is also a timely look at causal inference applied to scenarios that range from clinical trials to mediation and public health research more broadly. In an academic setting, this book will serve as a reference and guide to a course in causal inference at the graduate level (Master's or Doctorate). It is particularly relevant for students pursuing degrees in statistics, biostatistics, and computational biology. Researchers and data analysts in public health and biomedical research will also find this book to be animportant reference.
Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics
Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
AvJianchang Lin,Bushi Wangm. fl.
Inbunden, Engelska, 2016
2 399 kr
Skickas inom 10-15 vardagar
The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort Collins. The contributions cover topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. Each papers was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe.
New Developments in Statistical Modeling, Inference and Application
Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR
AvZhezhen Jin,Mengling Lium. fl.
Inbunden, Engelska, 2016
1 638 kr
Skickas inom 10-15 vardagar
The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking, and innovative clinical trial design and analysis. Each paper was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe. It offered 3 keynote speeches, 7 short courses, 76 parallel scientific sessions, student paper sessions, and social events.

ICSA Book Series in Statistics – serie

Contemporary Biostatistics with Biopharmaceutical Applications

Contemporary Biostatistics with Biopharmaceutical Applications

Statistical Quality Technologies

Statistical Quality Technologies

Statistical Methods for Global Health and Epidemiology

Statistical Methods for Global Health and Epidemiology

Sampling Theory and Practice

Sampling Theory and Practice

Advances and Innovations in Statistics and Data Science

Advances and Innovations in Statistics and Data Science

Emerging Topics in Modeling Interval-Censored Survival Data

Emerging Topics in Modeling Interval-Censored Survival Data

Statistics in Precision Health

Statistics in Precision Health

Innovative Designs and Analyses for Small Population Clinical Trials

Innovative Designs and Analyses for Small Population Clinical Trials

Modeling Binary Correlated Responses

Modeling Binary Correlated Responses

Dose Finding and Beyond in Biopharmaceutical Development

Dose Finding and Beyond in Biopharmaceutical Development

Big Data Analytics in Biostatistics and Bioinformatics

From Independence to Feedback

Applied Statistics in Biomedicine and Clinical Trials Design

Innovative Statistical Methods for Public Health Data

Applied Statistics in Biomedicine and Clinical Trials Design

Innovative Statistical Methods for Public Health Data

Modeling Binary Correlated Responses using SAS, SPSS and R

Statistical Causal Inferences and Their Applications in Public Health Research

Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics

New Developments in Statistical Modeling, Inference and Application