Applied Health Analytics And Informatics Using Sas

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Applied Health Analytics and Informatics Using SAS

Joseph M. Woodside

Author : Joseph M. Woodside
Publisher : SAS Institute
Page : 429 pages
File Size : 45,7 Mb
Release : 2018-11-08
Category : Computers
ISBN : 9781635266146

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Applied Health Analytics and Informatics Using SAS by Joseph M. Woodside Pdf

Leverage health data into insight! Applied Health Analytics and Informatics Using SAS describes health anamatics, a result of the intersection of data analytics and health informatics. Healthcare systems generate nearly a third of the world’s data, and analytics can help to eliminate medical errors, reduce readmissions, provide evidence-based care, demonstrate quality outcomes, and add cost-efficient care. This comprehensive textbook includes data analytics and health informatics concepts, along with applied experiential learning exercises and case studies using SAS Enterprise MinerTM within the healthcare industry setting. Topics covered include: Sampling and modeling health data – both structured and unstructured Exploring health data quality Developing health administration and health data assessment procedures Identifying future health trends Analyzing high-performance health data mining models Applied Health Analytics and Informatics Using SAS is intended for professionals, lifelong learners, senior-level undergraduates, graduate-level students in professional development courses, health informatics courses, health analytics courses, and specialized industry track courses. This textbook is accessible to a wide variety of backgrounds and specialty areas, including administrators, clinicians, and executives. This book is part of the SAS Press program.

Real World Health Care Data Analysis

Douglas Faries,Xiang Zhang,Zbigniew Kadziola,Uwe Siebert,Felicitas Kuehne,Robert L Obenchain,Josep Maria Haro

Author : Douglas Faries,Xiang Zhang,Zbigniew Kadziola,Uwe Siebert,Felicitas Kuehne,Robert L Obenchain,Josep Maria Haro
Publisher : SAS Institute
Page : 454 pages
File Size : 49,8 Mb
Release : 2020-01-15
Category : Computers
ISBN : 9781642958003

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Real World Health Care Data Analysis by Douglas Faries,Xiang Zhang,Zbigniew Kadziola,Uwe Siebert,Felicitas Kuehne,Robert L Obenchain,Josep Maria Haro Pdf

Discover best practices for real world data research with SAS code and examples Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient. The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding

Intelligent Computing

Kohei Arai

Author : Kohei Arai
Publisher : Springer Nature
Page : 1108 pages
File Size : 42,8 Mb
Release : 2021-07-05
Category : Technology & Engineering
ISBN : 9783030801298

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Intelligent Computing by Kohei Arai Pdf

This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.

Real World Health Care Data Analysis

Douglas Faries,Xiang Zhang,Zbigniew Kadziola,Uwe Siebert,Felicitas Kuehne,Robert L. Obenchain,Josep Maria Haro

Author : Douglas Faries,Xiang Zhang,Zbigniew Kadziola,Uwe Siebert,Felicitas Kuehne,Robert L. Obenchain,Josep Maria Haro
Publisher : Unknown
Page : 0 pages
File Size : 40,6 Mb
Release : 2020
Category : Health & Fitness
ISBN : 1642958018

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Real World Health Care Data Analysis by Douglas Faries,Xiang Zhang,Zbigniew Kadziola,Uwe Siebert,Felicitas Kuehne,Robert L. Obenchain,Josep Maria Haro Pdf

Real world health care data from observational studies, pragmatic trials, patient registries, and databases is common and growing in use. Real World Health Care Data Analysis: Causal Methods and Implementation in SAS® brings together best practices for causal-based comparative effectiveness analyses based on real world data in a single location. Example SAS code is provided to make the analyses relatively easy and efficient.The book also presents several emerging topics of interest, including algorithms for personalized medicine, methods that address the complexities of time varying confounding, extensions of propensity scoring to comparisons between more than two interventions, sensitivity analyses for unmeasured confounding, and implementation of model averaging.

Applied Medical Statistics Using SAS

Geoff Der,Brian S. Everitt

Author : Geoff Der,Brian S. Everitt
Publisher : CRC Press
Page : 562 pages
File Size : 44,9 Mb
Release : 2012-10-01
Category : Mathematics
ISBN : 9781439867976

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Applied Medical Statistics Using SAS by Geoff Der,Brian S. Everitt Pdf

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods. The book focuses on performing these analyses using SAS, the software package of choice for those analysing medical data. Features Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation Illustrates methods of randomisation that might be employed for clinical trials Covers topics that have become of great importance in the 21st century, including Bayesian methods and multiple imputation Its breadth and depth, coupled with the inclusion of all the SAS code, make this book ideal for practitioners as well as for a graduate class in biostatistics or public health. Complete data sets, all the SAS code, and complete outputs can be found on an associated website: http://support.sas.com/amsus

Statistical Analytics for Health Data Science with SAS and R

Jeffrey Wilson,Ding-Geng Chen,Karl E. Peace

Author : Jeffrey Wilson,Ding-Geng Chen,Karl E. Peace
Publisher : CRC Press
Page : 280 pages
File Size : 43,6 Mb
Release : 2023-03-27
Category : Business & Economics
ISBN : 9781000848823

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Statistical Analytics for Health Data Science with SAS and R by Jeffrey Wilson,Ding-Geng Chen,Karl E. Peace Pdf

This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences. Although the book promotes applications to health and health-related data, the models in the book can be used to analyze any kind of data. The data are analyzed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers’ learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference for the most commonly used statistical methods from the fundamental level to the advanced level. We envisage this book will contribute to the rapid development in health data science. We provide straightforward explanations of the collected statistical theory and models, compilations of a variety of publicly available data, and illustrations of data analytics using commonly used statistical software of SAS/R. We will have the data and computer programs available for readers to replicate and implement the new methods. The primary readers would be applied data scientists and practitioners in any field of data science, applied statistical analysts and scientists in public health, academic researchers, and graduate students in statistics and biostatistics. The secondary readers would be R&D professionals/practitioners in industry and governmental agencies. This book can be used for both teaching and applied research.

Biostatistics and Computer-based Analysis of Health Data Using SAS

Christophe Lalanne,Mounir Mesbah

Author : Christophe Lalanne,Mounir Mesbah
Publisher : Elsevier
Page : 174 pages
File Size : 45,5 Mb
Release : 2017-06-22
Category : Computers
ISBN : 9780081011713

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Biostatistics and Computer-based Analysis of Health Data Using SAS by Christophe Lalanne,Mounir Mesbah Pdf

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands. Presents the use of SAS software in the statistical approach for the management of data modeling Includes elements of the language and descriptive statistics Supplies measures of association, comparison of means, and proportions for two or more samples Explores linear and logistic regression Provides survival data analysis

Administrative Healthcare Data

Craig Dickstein,Renu Gehring

Author : Craig Dickstein,Renu Gehring
Publisher : SAS Institute
Page : 250 pages
File Size : 47,8 Mb
Release : 2014-10
Category : Computers
ISBN : 9781629593807

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Administrative Healthcare Data by Craig Dickstein,Renu Gehring Pdf

Explains the source and content of administrative healthcare data, which is the product of financial reimbursement for healthcare services. The book integrates the business knowledge of healthcare data with practical and pertinent case studies as shown in SAS Enterprise Guide.

Handbook of Data Analysis of Electronic Health Records (EHR) Using SAS Software

Behrouz Ehsani-Moghaddam

Author : Behrouz Ehsani-Moghaddam
Publisher : Unknown
Page : 0 pages
File Size : 49,5 Mb
Release : 2022
Category : Medical
ISBN : 9798886974379

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Handbook of Data Analysis of Electronic Health Records (EHR) Using SAS Software by Behrouz Ehsani-Moghaddam Pdf

"Electronic Health Records (EHR) are longitudinal data that are stored in a database that captures current and new patients at different points in time. Since EHR data come from multiple different vendors and open-source products, they can be messy, inconsistent, and often need to be harmonized and reformatted properly before they can provide real-world insights about patients using statistical techniques. This book goes beyond the general data manipulation, viewing the data analysis issues in a wider and more practical context. It covers all major steps of analysis of EHR data, even those instructions that cannot be taught in any classroom. The reader can have hands-on experience using the codes that are provided in the book and by utilizing the accompanying data that are available for free. This book is not restricted to one specific discipline but rather will be of interest to scientists working in any area where analyzing electronic public health data using SAS program is necessary. The material is aimed at the reader who are already familiar with applied statistics at an undergraduate level or higher"--

Analytics in Healthcare

Christo El Morr,Hossam Ali-Hassan

Author : Christo El Morr,Hossam Ali-Hassan
Publisher : Springer
Page : 105 pages
File Size : 42,7 Mb
Release : 2019-01-21
Category : Medical
ISBN : 9783030045067

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Analytics in Healthcare by Christo El Morr,Hossam Ali-Hassan Pdf

This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.

Healthcare Analytics

Hui Yang,Eva K. Lee

Author : Hui Yang,Eva K. Lee
Publisher : John Wiley & Sons
Page : 632 pages
File Size : 46,9 Mb
Release : 2016-10-10
Category : Business & Economics
ISBN : 9781119374664

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Healthcare Analytics by Hui Yang,Eva K. Lee Pdf

Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: • Contributions from well-known international experts who shed light on new approaches in this growing area • Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations • Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry • Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments.

Big Data and Health Analytics

Katherine Marconi,Harold Lehmann

Author : Katherine Marconi,Harold Lehmann
Publisher : CRC Press
Page : 382 pages
File Size : 54,6 Mb
Release : 2014-12-20
Category : Business & Economics
ISBN : 9781482229257

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Big Data and Health Analytics by Katherine Marconi,Harold Lehmann Pdf

Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery.Written for healt

Data Science and Medical Informatics in Healthcare Technologies

Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu

Author : Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu
Publisher : Springer Nature
Page : 91 pages
File Size : 41,7 Mb
Release : 2021-06-19
Category : Technology & Engineering
ISBN : 9789811630293

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Data Science and Medical Informatics in Healthcare Technologies by Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu Pdf

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.

Healthcare Informatics

Stephan P. Kudyba

Author : Stephan P. Kudyba
Publisher : CRC Press
Page : 277 pages
File Size : 51,5 Mb
Release : 2010-04-26
Category : Business & Economics
ISBN : 9781439857083

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Healthcare Informatics by Stephan P. Kudyba Pdf

Healthcare Informatics: Improving Efficiency and Productivity examines the complexities involved in managing resources in our healthcare system and explains how management theory and informatics applications can increase efficiencies in various functional areas of healthcare services. Delving into data and project management and advanced analytics,

Statistical Analytics for Health Data Science Using R/SAS

Jeffrey R. Wilson,Ding-Geng Chen,Karl E. Peace

Author : Jeffrey R. Wilson,Ding-Geng Chen,Karl E. Peace
Publisher : Unknown
Page : 0 pages
File Size : 51,8 Mb
Release : 2023
Category : Medical statistics
ISBN : 1032325690

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Statistical Analytics for Health Data Science Using R/SAS by Jeffrey R. Wilson,Ding-Geng Chen,Karl E. Peace Pdf

"This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applications to health and health-related data. However, the models in this book can be used to analyse any kind of data. The data are analysed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers' learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference for most commonly used statistical methods from the fundamental level to the advanced level. We envisage this book will contribute to the rapid development in health data science. We provide straightforward explanations of the collected statistical theory and models, compilations of a variety of publicly available data, and illustrations of data analytics using commonly used statistical software of SAS/R. We will have the data and computer programs available for readers to replicate and implement the new methods. The primary readers would be applied data scientists and practitioners in any field of data science, applied statistical analysts and scientists in public health, academic researchers, and graduate students in statistics and biostatistics. The secondary readers would be R&D professionals/practitioners in industry and governmental agencies. This book can be used for both teaching and applied research"--

Applied Health Analytics And Informatics Using Sas

Applied Health Analytics and Informatics Using SAS by Joseph M. Woodside Pdf

Real World Health Care Data Analysis by Douglas Faries,Xiang Zhang,Zbigniew Kadziola,Uwe Siebert,Felicitas Kuehne,Robert L Obenchain,Josep Maria Haro Pdf

Intelligent Computing by Kohei Arai Pdf

Real World Health Care Data Analysis by Douglas Faries,Xiang Zhang,Zbigniew Kadziola,Uwe Siebert,Felicitas Kuehne,Robert L. Obenchain,Josep Maria Haro Pdf

Applied Medical Statistics Using SAS by Geoff Der,Brian S. Everitt Pdf

Statistical Analytics for Health Data Science with SAS and R by Jeffrey Wilson,Ding-Geng Chen,Karl E. Peace Pdf

Biostatistics and Computer-based Analysis of Health Data Using SAS by Christophe Lalanne,Mounir Mesbah Pdf

Administrative Healthcare Data by Craig Dickstein,Renu Gehring Pdf

Handbook of Data Analysis of Electronic Health Records (EHR) Using SAS Software by Behrouz Ehsani-Moghaddam Pdf

Analytics in Healthcare by Christo El Morr,Hossam Ali-Hassan Pdf

Healthcare Analytics by Hui Yang,Eva K. Lee Pdf

Big Data and Health Analytics by Katherine Marconi,Harold Lehmann Pdf

Data Science and Medical Informatics in Healthcare Technologies by Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu Pdf

Healthcare Informatics by Stephan P. Kudyba Pdf

Statistical Analytics for Health Data Science Using R/SAS by Jeffrey R. Wilson,Ding-Geng Chen,Karl E. Peace Pdf

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