Book description
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.
