Analysis Of Observational Health Care Data Using Sas PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Analysis Of Observational Health Care Data Using Sas PDF full book. Access full book title Analysis Of Observational Health Care Data Using Sas.

Analysis of Observational Health Care Data Using SAS

Analysis of Observational Health Care Data Using SAS
Author: Douglas Faries
Publisher:
Total Pages: 452
Release: 2014
Genre:
ISBN:

Download Analysis of Observational Health Care Data Using SAS Book in PDF, ePub and Kindle

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.


Analysis of Observational Health Care Data Using SAS

Analysis of Observational Health Care Data Using SAS
Author: Douglas E. Faries
Publisher: SAS Press
Total Pages: 0
Release: 2010
Genre: Medical care
ISBN: 9781607642275

Download Analysis of Observational Health Care Data Using SAS Book in PDF, ePub and Kindle

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

Real World Health Care Data Analysis
Author: Douglas Faries
Publisher: SAS Institute
Total Pages: 454
Release: 2020-01-15
Genre: Computers
ISBN: 164295800X

Download Real World Health Care Data Analysis Book in PDF, ePub and Kindle

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


Real World Health Care Data Analysis

Real World Health Care Data Analysis
Author: Douglas Faries
Publisher:
Total Pages: 436
Release: 2020-01-15
Genre: Computers
ISBN: 9781642957983

Download Real World Health Care Data Analysis Book in PDF, ePub and Kindle

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


Statistical Analysis of Medical Data Using SAS

Statistical Analysis of Medical Data Using SAS
Author: Geoff Der
Publisher: CRC Press
Total Pages: 443
Release: 2005-09-20
Genre: Mathematics
ISBN: 1420057227

Download Statistical Analysis of Medical Data Using SAS Book in PDF, ePub and Kindle

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


SAS for Epidemiologists

SAS for Epidemiologists
Author: Charles DiMaggio
Publisher: Springer Science & Business Media
Total Pages: 266
Release: 2012-10-25
Genre: Mathematics
ISBN: 1461448549

Download SAS for Epidemiologists Book in PDF, ePub and Kindle

This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.


Statistical Analysis of Medical Data Using SAS

Statistical Analysis of Medical Data Using SAS
Author: Brian S. Der
Publisher: CRC Press
Total Pages: 440
Release: 2017-12-13
Genre:
ISBN: 9781315897769

Download Statistical Analysis of Medical Data Using SAS Book in PDF, ePub and Kindle

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

Applied Medical Statistics Using SAS
Author: Geoff Der
Publisher: CRC Press
Total Pages: 539
Release: 2012-10-01
Genre: Mathematics
ISBN: 1439867984

Download Applied Medical Statistics Using SAS Book in PDF, ePub and Kindle

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, longitudi


Using SAS for Data Management, Statistical Analysis, and Graphics

Using SAS for Data Management, Statistical Analysis, and Graphics
Author: Ken Kleinman
Publisher: CRC Press
Total Pages:
Release: 2017-11-15
Genre:
ISBN: 9781138469846

Download Using SAS for Data Management, Statistical Analysis, and Graphics Book in PDF, ePub and Kindle

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics A unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in SAS, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The text includes convenient indices organized by topic and SAS syntax. Demonstrating the SAS code in action and facilitating exploration, the authors present example analyses that employ a single data set from the HELP study. They also provide several case studies of more complex applications. Data sets and code are available for download on the book�s website. Helping to improve your analytical skills, this book lucidly summarizes the features of SAS most often used by statistical analysts. New users of SAS will find the simple approach easy to understand while more expert SAS programmers will appreciate the invaluable source of task-oriented information.


Administrative Healthcare Data

Administrative Healthcare Data
Author: Craig Dickstein
Publisher: SAS Institute
Total Pages: 250
Release: 2014-10
Genre: Computers
ISBN: 162959380X

Download Administrative Healthcare Data Book in PDF, ePub and Kindle

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.