Statistical Methods For Healthcare Performance Monitoring

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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 : 184 pages
File Size : 51,6 Mb
Release : 2016-08-05
Category : Mathematics
ISBN : 9781315355467

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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 Methods in Healthcare

Frederick W. Faltin,Ron S. Kenett,Fabrizio Ruggeri
Statistical Methods in Healthcare Book PDF

Author : Frederick W. Faltin,Ron S. Kenett,Fabrizio Ruggeri
Publisher : John Wiley & Sons
Page : 533 pages
File Size : 43,8 Mb
Release : 2012-07-24
Category : Medical
ISBN : 9781119942047

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Statistical Methods in Healthcare by Frederick W. Faltin,Ron S. Kenett,Fabrizio Ruggeri Pdf

Statistical Methods in Healthcare In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the goal is to develop new scientific and technical tools and to make product development processes more efficient and effective. Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success. Statistical methods used in planning, delivering and monitoring health care, as well as selected statistical aspects of the development and/or production of pharmaceuticals and medical devices are also addressed. With a focus on finding solutions to these challenges, this book: Provides a comprehensive, in-depth treatment of statistical methods in healthcare, along with a reference source for practitioners and specialists in health care and drug development. Offers a broad coverage of standards and established methods through leading edge techniques. Uses an integrated case study based approach, with focus on applications. Looks at the use of analytical and monitoring schemes to evaluate therapeutic performance. Features the application of modern quality management systems to clinical practice, and to pharmaceutical development and production processes. Addresses the use of modern statistical methods such as Adaptive Design, Seamless Design, Data Mining, Bayesian networks and Bootstrapping that can be applied to support the challenging new vision. Practitioners in healthcare-related professions, ranging from clinical trials to care delivery to medical device design, as well as statistical researchers in the field, will benefit from this book.

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 : 50,5 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.

Statistics for Health Care Management and Administration

John F. Kros,David A. Rosenthal
Statistics for Health Care Management and Administration Book PDF

Author : John F. Kros,David A. Rosenthal
Publisher : John Wiley & Sons
Page : 563 pages
File Size : 51,6 Mb
Release : 2016-01-11
Category : Medical
ISBN : 9781118712658

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Statistics for Health Care Management and Administration by John F. Kros,David A. Rosenthal Pdf

The must-have statistics guide for students of health services Statistics for Health Care Management and Administration is a unique and invaluable resource for students of health care administration and public health. The book introduces students to statistics within the context of health care, focusing on the major data and analysis techniques used in the field. All hands-on instruction makes use of Excel, the most common spreadsheet software that is ubiquitous in the workplace. This new third edition has been completely retooled, with new content on proportions, ANOVA, linear regression, chi-squares, and more, Step-by-step instructions in the latest version of Excel and numerous annotated screen shots make examples easy to follow and understand. Familiarity with statistical methods is essential for health services professionals and researchers, who must understand how to acquire, handle, and analyze data. This book not only helps students develop the necessary data analysis skills, but it also boosts familiarity with important software that employers will be looking for. Learn the basics of statistics in the context of Excel Understand how to acquire data and display it for analysis Master various tests including probability, regression, and more Turn test results into usable information with proper analysis Statistics for Health Care Management and Administration gets students off to a great start by introducing statistics in the workplace context from the very beginning.

Data and Safety Monitoring Committees in Clinical Trials

Jay Herson
Data and Safety Monitoring Committees in Clinical Trials Book PDF

Author : Jay Herson
Publisher : CRC Press
Page : 266 pages
File Size : 52,8 Mb
Release : 2016-12-19
Category : Mathematics
ISBN : 9781498784122

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Data and Safety Monitoring Committees in Clinical Trials by Jay Herson Pdf

Praise for the first edition: "Given the author’s years of experience as a statistician and as a founder of the first DMC in pharmaceutical industry trials, I highly recommend this book—not only for experts because of its cogent and organized presentation, but more importantly for young investigators who are seeking information about the logistical and philosophical aspects of a DMC." -S. T. Ounpraseuth, The American Statistician In the first edition of this well-regarded book, the author provided a groundbreaking and definitive guide to best practices in pharmaceutical industry data monitoring committees (DMCs). Maintaining all the material from the first edition and adding substantial new material, Data and Safety Monitoring Committees in Clinical Trials, Second Edition is ideal for training professionals to serve on their first DMC as well as for experienced clinical and biostatistical DMC members, sponsor and regulatory agency staff. The second edition guides the reader through newly emerging DMC responsibilities brought about by regulations emphasizing risk vs benefit and the emergence of risk-based monitoring. It also provides the reader with many new statistical methods, clinical trial designs and clinical terminology that have emerged since the first edition. The references have been updated and the very popular end-of-chapter Q&A section has been supplemented with many new experiences since the first edition. New to the Second Edition: Presents statistical methods, tables, listings and graphs appropriate for safety review, efficacy analysis and risk vs benefit analysis, SPERT and PRISMA initiatives. Newly added interim analysis for efficacy and futility section. DMC responsibilities in SUSARs (Serious Unexpected Serious Adverse Reactions), basket trials, umbrella trials, dynamic treatment strategies /SMART trials, pragmatic trials, biosimilar trials, companion diagnostics, etc. DMC responsibilities for data quality and fraud detection (Fraud Recovery Plan) Use of patient reported outcomes of safety Use of meta analysis and data outside the trial New ideas for training and compensation of DMC members Jay Herson is Senior Associate, Biostatistics, Johns Hopkins Bloomberg School of Public Health where he teaches courses on clinical trials and drug development based on his many years experience in clinical trials in academia and the pharmaceutical industry.

Munro's Statistical Methods for Health Care Research

Stacey Beth Plichta,Elizabeth A. Kelvin
Munro s Statistical Methods for Health Care Research Book PDF

Author : Stacey Beth Plichta,Elizabeth A. Kelvin
Publisher : Lippincott Williams & Wilkins
Page : 567 pages
File Size : 45,5 Mb
Release : 2012
Category : Medical
ISBN : 145111561X

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Munro's Statistical Methods for Health Care Research by Stacey Beth Plichta,Elizabeth A. Kelvin Pdf

This work provides a foundation in the statistics portion of nursing. Topics expanded in this edition include reliability analysis, path analysis, measurement error, missing data, and survival analysis.

Medical Biostatistics

Abhaya Indrayan,Rajeev Kumar Malhotra
Medical Biostatistics Book PDF

Author : Abhaya Indrayan,Rajeev Kumar Malhotra
Publisher : CRC Press
Page : 984 pages
File Size : 44,5 Mb
Release : 2017-11-27
Category : Mathematics
ISBN : 9781498799546

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Medical Biostatistics by Abhaya Indrayan,Rajeev Kumar Malhotra Pdf

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.

Managing Performance Measurement Data in Health Care

Anonim
Managing Performance Measurement Data in Health Care Book PDF

Author : Anonim
Publisher : Joint Commission on
Page : 130 pages
File Size : 41,9 Mb
Release : 2008
Category : Medical
ISBN : 1599400960

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Managing Performance Measurement Data in Health Care by Anonim Pdf

Are you a health care provider who has ever wondered what to do with all the data that have been collected by your organization? Then Managing Performance Measurement Data in Health Care, 2nd Edition is for you. This book covers new processes and research in the data management arena including updated data collection tools, an update on methods for collecting data, and key ways to display and/or analyze data. It includes: An overview of data management, including how to use the data management process to improve performance Tips on data collection and analysis, including how to use statistical tools such as control charts and run charts to analyze and interpret data Ways to use the data that have been collected and analyzed to implement and sustain improvement The book also discusses how to incorporate data collection and analysis into everyday activities and lessen the "burdened" feeling that might come with data analysis efforts. Case studies from a variety of organizations offer real-world examples that other organizations can adapt and learn from for their own use.

Statistical Topics in Health Economics and Outcomes Research

Demissie Alemayehu, PhD,Joseph C. Cappelleri, PhD,Birol Emir, PhD,Kelly H. Zou, PhD, Pstat
Statistical Topics in Health Economics and Outcomes Research Book PDF

Author : Demissie Alemayehu, PhD,Joseph C. Cappelleri, PhD,Birol Emir, PhD,Kelly H. Zou, PhD, Pstat
Publisher : CRC Press
Page : 210 pages
File Size : 41,6 Mb
Release : 2017-11-22
Category : Mathematics
ISBN : 9781498781886

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Statistical Topics in Health Economics and Outcomes Research by Demissie Alemayehu, PhD,Joseph C. Cappelleri, PhD,Birol Emir, PhD,Kelly H. Zou, PhD, Pstat Pdf

With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options. While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues. The book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.

Bioequivalence and Statistics in Clinical Pharmacology

Scott D. Patterson,Byron Jones
Bioequivalence and Statistics in Clinical Pharmacology Book PDF

Author : Scott D. Patterson,Byron Jones
Publisher : CRC Press
Page : 434 pages
File Size : 52,5 Mb
Release : 2017-03-27
Category : Mathematics
ISBN : 9781466585218

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Bioequivalence and Statistics in Clinical Pharmacology by Scott D. Patterson,Byron Jones Pdf

Maintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition explores statistics used in day-to-day clinical pharmacology work. The book is a starting point for those involved in such research and covers the methods needed to design, analyze, and interpret bioequivalence trials; explores when, how, and why these studies are performed as part of drug development; and demonstrates the methods using real world examples. Drawing on knowledge gained directly from working in the pharmaceutical industry, the authors set the stage by describing the general role of statistics. Once the foundation of clinical pharmacology drug development, regulatory applications, and the design and analysis of bioequivalence trials are established, including recent regulatory changes in design and analysis and in particular sample-size adaptation, they move on to related topics in clinical pharmacology involving the use of cross-over designs. These include, but are not limited to, safety studies in Phase I, dose-response trials, drug interaction trials, food-effect and combination trials, QTc and other pharmacodynamic equivalence trials, proof-of-concept trials, dose-proportionality trials, and vaccines trials. This second edition addresses several recent developments in the field, including new chapters on adaptive bioequivalence studies, scaled average bioequivalence testing, and vaccine trials. Purposefully designed to be instantly applicable, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition provides examples of SAS and R code so that the analyses described can be immediately implemented. The authors have made extensive use of the proc mixed procedures available in SAS.

Quantitative Methods for HIV/AIDS Research

Cliburn Chan,Michael G. Hudgens,Shein-Chung Chow
Quantitative Methods for HIV AIDS Research Book PDF

Author : Cliburn Chan,Michael G. Hudgens,Shein-Chung Chow
Publisher : CRC Press
Page : 309 pages
File Size : 43,6 Mb
Release : 2017-08-07
Category : Mathematics
ISBN : 9781498734257

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Quantitative Methods for HIV/AIDS Research by Cliburn Chan,Michael G. Hudgens,Shein-Chung Chow Pdf

Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data. The first section focuses on statistical issues in clinical trials and epidemiology that are unique to or particularly challenging in HIV/AIDS research; the second section focuses on the analysis of laboratory data used for immune monitoring, biomarker discovery and vaccine development; the final section focuses on statistical issues in the mathematical modeling of HIV/AIDS pathogenesis, treatment and epidemiology. This book brings together a broad perspective of new quantitative methods in HIV/AIDS research, contributed by statisticians and mathematicians immersed in HIV research, many of whom are current or previous leaders of CFAR quantitative cores. It is the editors’ hope that the work will inspire more statisticians, mathematicians and computer scientists to collaborate and contribute to the interdisciplinary challenges of understanding and addressing the AIDS pandemic.

Applied Surrogate Endpoint Evaluation Methods with SAS and R

Ariel Alonso,Theophile Bigirumurame,Tomasz Burzykowski,Marc Buyse,Geert Molenberghs,Leacky Muchene,Nolen Joy Perualila,Ziv Shkedy,Wim Van der Elst
Applied Surrogate Endpoint Evaluation Methods with SAS and R Book PDF

Author : Ariel Alonso,Theophile Bigirumurame,Tomasz Burzykowski,Marc Buyse,Geert Molenberghs,Leacky Muchene,Nolen Joy Perualila,Ziv Shkedy,Wim Van der Elst
Publisher : CRC Press
Page : 396 pages
File Size : 53,6 Mb
Release : 2016-11-30
Category : Mathematics
ISBN : 9781482249378

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Applied Surrogate Endpoint Evaluation Methods with SAS and R by Ariel Alonso,Theophile Bigirumurame,Tomasz Burzykowski,Marc Buyse,Geert Molenberghs,Leacky Muchene,Nolen Joy Perualila,Ziv Shkedy,Wim Van der Elst Pdf

An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to use because of such factors as long follow-up times or prohibitive cost, it is sometimes possible to use a surrogate endpoint that can be measured in a more convenient or cost-effective way. This book focuses on the use of surrogate endpoint evaluation methods in practice, using SAS and R.

Clinical Trial Data Analysis Using R and SAS

Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang
Clinical Trial Data Analysis Using R and SAS Book PDF

Author : Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang
Publisher : CRC Press
Page : 378 pages
File Size : 53,9 Mb
Release : 2017-06-01
Category : Mathematics
ISBN : 9781498779531

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Clinical Trial Data Analysis Using R and SAS by Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang Pdf

Review of the First Edition "The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it ...The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods."—Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data. What’s New in the Second Edition Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials. Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.

Cluster Randomised Trials

Richard J. Hayes,Lawrence H. Moulton
Cluster Randomised Trials Book PDF

Author : Richard J. Hayes,Lawrence H. Moulton
Publisher : CRC Press
Page : 398 pages
File Size : 44,7 Mb
Release : 2017-07-06
Category : Mathematics
ISBN : 9781498728232

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Cluster Randomised Trials by Richard J. Hayes,Lawrence H. Moulton Pdf

Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to different treatments. It explores the advantages of cluster randomisation, with special attention given to evaluating the effects of interventions against infectious diseases. Avoiding unnecessary mathematical detail, the book covers basic concepts underlying the use of cluster randomisation, such as direct, indirect, and total effects. In the time since the publication of the first edition, the use of cluster randomised trials (CRTs) has increased substantially, which is reflected in the updates to this edition. There are greatly expanded sections on randomisation, sample size estimation, and alternative designs, including new material on stepped wedge designs. There is a new section on handling ordinal outcome data, and an appendix with descriptions and/or generating code of the example data sets. Although the book mainly focuses on medical and public health applications, it shows that the rigorous evidence of intervention effects provided by CRTs has the potential to inform public policy in a wide range of other areas. The book encourages readers to apply the methods to their own trials, reproduce the analyses presented, and explore alternative approaches.

Randomization, Masking, and Allocation Concealment

Vance Berger
Randomization Masking and Allocation Concealment Book PDF

Author : Vance Berger
Publisher : CRC Press
Page : 251 pages
File Size : 50,5 Mb
Release : 2017-10-30
Category : Mathematics
ISBN : 9781315305103

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Randomization, Masking, and Allocation Concealment by Vance Berger Pdf

Randomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art randomization methods, and also wants to be able to describe these methods correctly. Far too often the subtle nuances that distinguish proper randomization from flawed randomization are completely ignored in trial reports that state only that randomization was used, with no additional information. Experience has shown that in many cases, the type of randomization that was used was flawed. It is only a matter of time before medical journals and regulatory agencies come to realize that we can no longer rely on (or publish) flawed trials, and that flawed randomization in and of itself disqualifies a trial from being robust or high quality, even if that trial is of high quality otherwise. This book will help to clarify the role randomization plays in ensuring internal validity, and in drawing valid inferences from the data. The various chapters cover a variety of randomization methods, and are not limited to the most common (and most flawed) ones. Readers will come away with a profound understanding of what constitutes a valid randomization procedure, so that they can distinguish the valid from the flawed among not only existing methods but also methods yet to be developed.