E-Book, Englisch, 520 Seiten, E-Book
ISBN: 978-1-119-94000-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
In recent years the number of innovative medicinal products anddevices submitted and approved by regulatory bodies has declineddramatically. The medical product development process is nolonger able to keep pace with increasing technologies, science andinnovations and the goal is to develop new scientific and technicaltools and to make product development processes more efficient andeffective. Statistical Methods in Healthcare focuses on theapplication of statistical methodologies to evaluate promisingalternatives and to optimize the performance and demonstrate theeffectiveness of those that warrant pursuit is critical to success.Statistical methods used in planning, delivering and monitoringhealth care, as well as selected statistical aspects of thedevelopment and/or production of pharmaceuticals and medicaldevices are also addressed.
With a focus on finding solutions to these challenges, thisbook:
* Provides a comprehensive, in-depth treatment of statisticalmethods in healthcare, along with a reference source forpractitioners and specialists in health care and drugdevelopment.
* Offers a broad coverage of standards and established methodsthrough leading edge techniques.
* Uses an integrated, case-study based approach, with focus onapplications.
* Looks at the use of analytical and monitoring schemes toevaluate therapeutic performance.
* Features the application of modern quality management systemsto clinical practice, and to pharmaceutical development andproduction processes.
* Addresses the use of modern Statistical methods such asAdaptive Design, Seamless Design, Data Mining, Bayesian networksand Bootstrapping that can be applied to support the challengingnew vision.
Practitioners in healthcare-related professions, ranging fromclinical trials to care delivery to medical device design, as wellas statistical researchers in the field, will benefit from thisbook.
Faltin / Kenett / Ruggeri
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With a focus on finding solutions to these challenges, thisbook:
* Provides a comprehensive, in-depth treatment of statisticalmethods in healthcare, along with a reference source forpractitioners and specialists in health care and drugdevelopment.
* Offers a broad coverage of standards and established methodsthrough leading edge techniques.
* Uses an integrated, case-study based approach, with focus onapplications.
* Looks at the use of analytical and monitoring schemes toevaluate therapeutic performance.
* Features the application of modern quality management systemsto clinical practice, and to pharmaceutical development andproduction processes.
* Addresses the use of modern Statistical methods such asAdaptive Design, Seamless Design, Data Mining, Bayesian networksand Bootstrapping that can be applied to support the challengingnew vision.
Practitioners in healthcare-related professions, ranging fromclinical trials to care delivery to medical device design, as wellas statistical researchers in the field, will benefit from thisbook.
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