Analysis Of Observational Health Care Data Using Sas
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Analysis Of Observational Health Care Data Using Sas
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Author : Douglas Faries
language : en
Publisher:
Release Date : 2014
Analysis Of Observational Health Care Data Using Sas written by Douglas Faries and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data. This book is part of the SAS Press program.
Real World Health Care Data Analysis
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Author : Douglas Faries
language : en
Publisher: SAS Institute
Release Date : 2020-01-15
Real World Health Care Data Analysis written by Douglas Faries and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-15 with Computers categories.
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
Analysis Of Observational Health Care Data Using Sas
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Author : Douglas E. Faries
language : en
Publisher: SAS Press
Release Date : 2010
Analysis Of Observational Health Care Data Using Sas written by Douglas E. Faries and has been published by SAS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Medical care categories.
This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data. This book is part of the SAS Press program.
Real World Health Care Data Analysis
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Author : Douglas Faries
language : en
Publisher:
Release Date : 2020
Real World Health Care Data Analysis written by Douglas Faries and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Health & Fitness categories.
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.
Statistical Analysis Of Medical Data Using Sas
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Author : Geoff Der
language : en
Publisher: CRC Press
Release Date : 2005-09-20
Statistical Analysis Of Medical Data Using Sas written by Geoff Der and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-20 with Mathematics categories.
Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical literature. But while statistical software such as SAS make routine application of these techniques possible, users who are not primarily statisticians
Statistical Analysis Of Medical Data Using Sas
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Author : Brian S. Der
language : en
Publisher: CRC Press
Release Date : 2017-12-13
Statistical Analysis Of Medical Data Using Sas written by Brian S. Der and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-13 with categories.
Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical literature. But while statistical software such as SAS make routine application of these techniques possible, users who are not primarily statisticians must take care to correctly implement the various procedures and correctly interpret the output. Statistical Analysis of Medical Data Using SAS demonstrates how to use SAS to analyze medical data. Each chapter addresses a particular analysis method. The authors briefly describe each procedure, but focus on its SAS implementation and properly interpreting the output. The carefully designed presentation relegates the theoretical details to "Displays," so that the code and results can be explored without interruption. All of the code and data sets used in the book are available for download from either the SAS Web site or www.crcpress.com. Der and Everitt, authors of the best-selling Handbook of Statistical Analyses Using SAS, bring all of their considerable talent and experience to bear in this book. Step-by-step instructions, lucid explanations and clear examples combine to form an outstanding, self-contained guide--suitable for medical researchers and statisticians alike--to using SAS to analyze medical data.
Applied Medical Statistics Using Sas
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Author : Geoff Der
language : en
Publisher: CRC Press
Release Date : 2012-10-01
Applied Medical Statistics Using Sas written by Geoff Der and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-01 with Mathematics categories.
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
Analyzing Health Data In R For Sas Users
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Author : Monika Maya Wahi
language : en
Publisher: CRC Press
Release Date : 2017-11-22
Analyzing Health Data In R For Sas Users written by Monika Maya Wahi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Mathematics categories.
Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful as a textbook for a descriptive or regression modeling class, as it uses a publicly-available dataset for examples, and provides exercises at the end of each chapter. For students and public health professionals, not only is it a gentle introduction to R, but it can serve as a guide to developing the results for a research report using R software. Features: Gives examples in both SAS and R Demonstrates descriptive statistics as well as linear and logistic regression Provides exercise questions and answers at the end of each chapter Uses examples from the publicly available dataset, Behavioral Risk Factor Surveillance System (BRFSS) 2014 data Guides the reader on producing a health analysis that could be published as a research report Gives an example of hypothesis-driven data analysis Provides examples of plots with a color insert
Health Care Data And The Sas System
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Author : Marge Scerbo
language : en
Publisher: SAS Press
Release Date : 2001
Health Care Data And The Sas System written by Marge Scerbo and has been published by SAS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Medical records categories.
New and experienced SAS programmers and analysts working in health care data analysis will find this book invaluable in their daily professional life. A terrific primer for new health care analysts and a reference for long-time practitioners, this book defines the types of health care data and explores a wide range of tasks, including reading, validating, and manipulating the health care data, and producing reports.
Applied Health Analytics And Informatics Using Sas
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Author : Joseph M. Woodside
language : en
Publisher: SAS Institute
Release Date : 2018-11-08
Applied Health Analytics And Informatics Using Sas written by Joseph M. Woodside and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-08 with Computers categories.
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.