Empirical Likelihood Methods In Biomedicine And Health

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Empirical Likelihood Methods in Biomedicine and Health

Albert Vexler,Jihnhee Yu
Empirical Likelihood Methods in Biomedicine and Health Book PDF

Author : Albert Vexler,Jihnhee Yu
Publisher : CRC Press
Page : 300 pages
File Size : 47,5 Mb
Release : 2018-09-03
Category : Mathematics
ISBN : 9781351001519

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Empirical Likelihood Methods in Biomedicine and Health by Albert Vexler,Jihnhee Yu Pdf

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications. It includes detailed descriptions of the theoretical underpinnings of recently developed empirical likelihood-based methods. The emphasis throughout is on the application of the methods to the health sciences, with worked examples using real data. Provides a systematic overview of novel empirical likelihood techniques. Presents a good balance of theory, methods, and applications. Features detailed worked examples to illustrate the application of the methods. Includes R code for implementation. The book material is attractive and easily understandable to scientists who are new to the research area and may attract statisticians interested in learning more about advanced nonparametric topics including various modern empirical likelihood methods. The book can be used by graduate students majoring in biostatistics, or in a related field, particularly for those who are interested in nonparametric methods with direct applications in Biomedicine.

Empirical Likelihood Methods in Biomedicine and Health

Albert Vexler,Jihnhee Yu
Empirical Likelihood Methods in Biomedicine and Health Book PDF

Author : Albert Vexler,Jihnhee Yu
Publisher : CRC Press
Page : 149 pages
File Size : 45,8 Mb
Release : 2018-09-03
Category : Mathematics
ISBN : 9781351001502

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Empirical Likelihood Methods in Biomedicine and Health by Albert Vexler,Jihnhee Yu Pdf

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications. It includes detailed descriptions of the theoretical underpinnings of recently developed empirical likelihood-based methods. The emphasis throughout is on the application of the methods to the health sciences, with worked examples using real data. Provides a systematic overview of novel empirical likelihood techniques. Presents a good balance of theory, methods, and applications. Features detailed worked examples to illustrate the application of the methods. Includes R code for implementation. The book material is attractive and easily understandable to scientists who are new to the research area and may attract statisticians interested in learning more about advanced nonparametric topics including various modern empirical likelihood methods. The book can be used by graduate students majoring in biostatistics, or in a related field, particularly for those who are interested in nonparametric methods with direct applications in Biomedicine.

Modern Inference Based on Health-Related Markers

Albert Vexler,Jihnhee Yu,Jiaojiao Zhou
Modern Inference Based on Health Related Markers Book PDF

Author : Albert Vexler,Jihnhee Yu,Jiaojiao Zhou
Publisher : Academic Press
Page : 424 pages
File Size : 43,6 Mb
Release : 2024-03-18
Category : Medical
ISBN : 9780128152485

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Modern Inference Based on Health-Related Markers by Albert Vexler,Jihnhee Yu,Jiaojiao Zhou Pdf

Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making provides a compendium of biomarkers based methodologies for respective health related fields and health related marker-specific biostatistical techniques. These methodologies may be applied to various problems encountered in medical and epidemiological studies. This book introduces correct and efficient testing mechanisms including procedures based on bootstrap and permutation methods with the aim of making these techniques assessable to practical researchers. In the biostatistical aspect, it describes how to correctly state testing problems, but it also includes novel results, which have appeared in current statistical publications. The book discusses also modern applied statistical developments that consider data-driven techniques, including empirical likelihood methods and other simple and efficient methods to derive statistical tools for use in health related studies. The title is a valuable source for biostaticians, practitioners, theoretical and applied investigators, and several members of the biomedical field who are interested in learning more about efficient evidence-based inference incorporating several forms of markers measurements. Combines modern epidemiological and public health discoveries with cutting-edge biostatistical tools, including relevant software codes, offering one full package to meet the demand of practical investigators Includes the emerging topics from real health fields in order to display recent advances and trends in Biomarkers and associated Decision Making areas Written by researchers who are leaders of Epidemiological and Biostatistical fields, presenting up-to-date investigations related to the measuring health issues, emerging fields of biomarkers, designing health studies and their implementations, clinical trials and their practices and applications, different aspects of genetic markers

Empirical Likelihood Method in Survival Analysis

Mai Zhou
Empirical Likelihood Method in Survival Analysis Book PDF

Author : Mai Zhou
Publisher : CRC Press
Page : 220 pages
File Size : 51,9 Mb
Release : 2015-06-17
Category : Mathematics
ISBN : 9781466554931

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Empirical Likelihood Method in Survival Analysis by Mai Zhou Pdf

Add the Empirical Likelihood to Your Nonparametric ToolboxEmpirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the associated R code. The datasets and code are available

Statistical Testing Strategies in the Health Sciences

Albert Vexler,Alan D. Hutson,Xiwei Chen
Statistical Testing Strategies in the Health Sciences Book PDF

Author : Albert Vexler,Alan D. Hutson,Xiwei Chen
Publisher : CRC Press
Page : 668 pages
File Size : 50,5 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781315353012

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Statistical Testing Strategies in the Health Sciences by Albert Vexler,Alan D. Hutson,Xiwei Chen Pdf

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book’s novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.

Statistical Methods for Healthcare Performance Monitoring

Alex Bottle,Paul Aylin
Statistical Methods for Healthcare Performance Monitoring Book PDF

Author : Alex Bottle,Paul Aylin
Publisher : CRC Press
Page : 292 pages
File Size : 48,5 Mb
Release : 2016-08-05
Category : Mathematics
ISBN : 9781482246100

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Statistical Methods for Healthcare Performance Monitoring by Alex Bottle,Paul Aylin Pdf

Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it’s more crucial than ever to know how well the healthcare system and all its components – from staff member to regional network – are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists. Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.

Statistical Testing Strategies in the Health Sciences

Albert Vexler,Alan D. Hutson,Xiwei Chen
Statistical Testing Strategies in the Health Sciences Book PDF

Author : Albert Vexler,Alan D. Hutson,Xiwei Chen
Publisher : CRC Press
Page : 703 pages
File Size : 49,8 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781498730846

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Statistical Testing Strategies in the Health Sciences by Albert Vexler,Alan D. Hutson,Xiwei Chen Pdf

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book’s novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.

Methods and Applications of Statistics in Clinical Trials, Volume 2

N. Balakrishnan
Methods and Applications of Statistics in Clinical Trials Volume 2 Book PDF

Author : N. Balakrishnan
Publisher : Wiley
Page : 960 pages
File Size : 53,6 Mb
Release : 2014-05-16
Category : Medical
ISBN : 1118595882

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Methods and Applications of Statistics in Clinical Trials, Volume 2 by N. Balakrishnan Pdf

"This comprehensive book features both new and established material on the key statistical principles and concepts for designing modern-day clinical trials, such as hazard ratio, flexible designs, confounding, covariates, missing data, and longitudinal data. It discusses the various kinds of trials that can be found in today's clinical setting including open-labeled trials, multicentered trials, and superiority trials. It also explores such ongoing, cutting-edge trials as early cancer & heart disease, mother to child human immunodeficiency virus transmission, women's health initiative dietary, and AIDS"--Provided by publisher.

Likelihood and Bayesian Inference

Leonhard Held,Daniel Sabanés Bové
Likelihood and Bayesian Inference Book PDF

Author : Leonhard Held,Daniel Sabanés Bové
Publisher : Springer
Page : 402 pages
File Size : 46,5 Mb
Release : 2021-04-01
Category : Medical
ISBN : 3662607948

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Likelihood and Bayesian Inference by Leonhard Held,Daniel Sabanés Bové Pdf

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book “Applied Statistical Inference” has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications.

Methods and Applications of Statistics in Clinical Trials, Volume 2

Narayanaswamy Balakrishnan
Methods and Applications of Statistics in Clinical Trials Volume 2 Book PDF

Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
Page : 953 pages
File Size : 44,9 Mb
Release : 2014-06-16
Category : Medical
ISBN : 9781118595961

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Methods and Applications of Statistics in Clinical Trials, Volume 2 by Narayanaswamy Balakrishnan Pdf

Methods and Applications of Statistics in Clinical Trials, Volume 2: Planning, Analysis, and Inferential Methods includes updates of established literature from the Wiley Encyclopedia of Clinical Trials as well as original material based on the latest developments in clinical trials. Prepared by a leading expert, the second volume includes numerous contributions from current prominent experts in the field of medical research. In addition, the volume features: • Multiple new articles exploring emerging topics, such as evaluation methods with threshold, empirical likelihood methods, nonparametric ROC analysis, over- and under-dispersed models, and multi-armed bandit problems • Up-to-date research on the Cox proportional hazard model, frailty models, trial reports, intrarater reliability, conditional power, and the kappa index • Key qualitative issues including cost-effectiveness analysis, publication bias, and regulatory issues, which are crucial to the planning and data management of clinical trials

Methods in Comparative Effectiveness Research

Constantine Gatsonis,Sally C. Morton
Methods in Comparative Effectiveness Research Book PDF

Author : Constantine Gatsonis,Sally C. Morton
Publisher : CRC Press
Page : 575 pages
File Size : 49,8 Mb
Release : 2017-02-24
Category : Mathematics
ISBN : 9781466511972

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Methods in Comparative Effectiveness Research by Constantine Gatsonis,Sally C. Morton Pdf

Comparative effectiveness research (CER) is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care (IOM 2009). CER is conducted to develop evidence that will aid patients, clinicians, purchasers, and health policy makers in making informed decisions at both the individual and population levels. CER encompasses a very broad range of types of studies—experimental, observational, prospective, retrospective, and research synthesis. This volume covers the main areas of quantitative methodology for the design and analysis of CER studies. The volume has four major sections—causal inference; clinical trials; research synthesis; and specialized topics. The audience includes CER methodologists, quantitative-trained researchers interested in CER, and graduate students in statistics, epidemiology, and health services and outcomes research. The book assumes a masters-level course in regression analysis and familiarity with clinical research.

Applied Biclustering Methods for Big and High-Dimensional Data Using R

Adetayo Kasim,Ziv Shkedy,Sebastian Kaiser,Sepp Hochreiter,Willem Talloen
Applied Biclustering Methods for Big and High Dimensional Data Using R Book PDF

Author : Adetayo Kasim,Ziv Shkedy,Sebastian Kaiser,Sepp Hochreiter,Willem Talloen
Publisher : CRC Press
Page : 407 pages
File Size : 45,9 Mb
Release : 2016-10-03
Category : Mathematics
ISBN : 9781482208245

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Applied Biclustering Methods for Big and High-Dimensional Data Using R by Adetayo Kasim,Ziv Shkedy,Sebastian Kaiser,Sepp Hochreiter,Willem Talloen Pdf

Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix. The book presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. References to technical details of the methods are provided for readers who wish to investigate the full theoretical background. All the methods are accompanied with R examples that show how to conduct the analyses. The examples, software, and other materials are available on a supplementary website.

Empirical Likelihood Method in Survival Analysis

Mai Zhou
Empirical Likelihood Method in Survival Analysis Book PDF

Author : Mai Zhou
Publisher : CRC Press
Page : 220 pages
File Size : 54,5 Mb
Release : 2019-08-30
Category : Electronic
ISBN : 0367377578

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Empirical Likelihood Method in Survival Analysis by Mai Zhou Pdf

Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the associated R code. The datasets and code are available for download on his website and CRAN. The book focuses on all the standard survival analysis topics treated with empirical likelihood, including hazard functions, cumulative distribution functions, analysis of the Cox model, and computation of empirical likelihood for censored data. It also covers semi-parametric accelerated failure time models, the optimality of confidence regions derived from empirical likelihood or plug-in empirical likelihood ratio tests, and several empirical likelihood confidence band results. While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only recently been developed. Until now, just one book was available on empirical likelihood and most statistical software did not include empirical likelihood procedures. Addressing this shortfall, this book provides the functions to calculate the empirical likelihood ratio in survival analysis as well as functions related to the empirical likelihood analysis of the Cox regression model and other hazard regression models.

Bayesian Designs for Phase I-II Clinical Trials

Ying Yuan,Hoang Q. Nguyen,Peter F. Thall
Bayesian Designs for Phase I II Clinical Trials Book PDF

Author : Ying Yuan,Hoang Q. Nguyen,Peter F. Thall
Publisher : CRC Press
Page : 310 pages
File Size : 51,5 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781498709569

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Bayesian Designs for Phase I-II Clinical Trials by Ying Yuan,Hoang Q. Nguyen,Peter F. Thall Pdf

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources. Bayesian Designs for Phase I–II Clinical Trials describes how phase I–II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes. Written by research leaders from the University of Texas MD Anderson Cancer Center, this book shows how Bayesian designs for early-phase clinical trials can explore, refine, and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity.

Essentials of a Successful Biostatistical Collaboration

Arul Earnest
Essentials of a Successful Biostatistical Collaboration Book PDF

Author : Arul Earnest
Publisher : CRC Press
Page : 309 pages
File Size : 53,8 Mb
Release : 2016-10-14
Category : Mathematics
ISBN : 9781482226997

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Essentials of a Successful Biostatistical Collaboration by Arul Earnest Pdf

The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.