Statistical Methods in Healthcare

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Release : 2012-07-24
Genre : Medical
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Book Rating : 047/5 ( reviews)

Statistical Methods in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods in Healthcare write by Frederick W. Faltin. This book was released on 2012-07-24. Statistical Methods in Healthcare available in PDF, EPUB and Kindle. 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 Health Care Research

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Release : 2001
Genre : Business & Economics
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Book Rating : /5 ( reviews)

Statistical Methods for Health Care Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods for Health Care Research write by Barbara Hazard Munro. This book was released on 2001. Statistical Methods for Health Care Research available in PDF, EPUB and Kindle. This singular text provides nursing students as well as students in all other health-related disciplines with a solid foundation for understanding data and specific statistical techniques. In this newest edition, outstanding faculty contributors focus on the most current and most frequently used statistical methods in today's health care literature, covering essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized and clear text discussions and great learning tools help you cut through the complexities and fully comprehend the concepts of this often intimidating area of study. Book jacket.

Statistical Methods for Healthcare Performance Monitoring

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Release : 2016-08-05
Genre : Mathematics
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Book Rating : 469/5 ( reviews)

Statistical Methods for Healthcare Performance Monitoring - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods for Healthcare Performance Monitoring write by Alex Bottle. This book was released on 2016-08-05. Statistical Methods for Healthcare Performance Monitoring available in PDF, EPUB and Kindle. 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.

Essential Statistical Methods for Medical Statistics

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Release : 2010-11-08
Genre : Mathematics
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Book Rating : 384/5 ( reviews)

Essential Statistical Methods for Medical Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Essential Statistical Methods for Medical Statistics write by J. Philip Miller. This book was released on 2010-11-08. Essential Statistical Methods for Medical Statistics available in PDF, EPUB and Kindle. Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas. Contributors are internationally renowned experts in their respective areas Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research Methods for assessing Biomarkers, analysis of competing risks Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs Structural equations modelling and longitudinal data analysis

Innovative Statistical Methods for Public Health Data

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Release : 2015-08-31
Genre : Medical
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Book Rating : 365/5 ( reviews)

Innovative Statistical Methods for Public Health Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Innovative Statistical Methods for Public Health Data write by Ding-Geng (Din) Chen. This book was released on 2015-08-31. Innovative Statistical Methods for Public Health Data available in PDF, EPUB and Kindle. The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.