<p>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, itβs more crucial than ever to know how well the healthcare system and all its components β from staff member to regional
Statistical Methods in Healthcare
- Year
- 2012
- Tongue
- English
- Leaves
- 508
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically.Β 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 Healthcarefocuses 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.
Content:
Chapter 1 Statistical Aspects in ICH, FDA and EMA Guidelines (pages 1β21): Allan Sampson and Ron S. Kenett
Chapter 2 Statistical Methods in Clinical Trials (pages 22β55): Telba Irony, Caiyan Li and Phyllis Silverman
Chapter 3 Pharmacometrics in Drug Development (pages 56β77): Serge Guzy and Robert Bauer
Chapter 4 Interactive Clinical Trial Design (pages 78β102): Zvia Agur
Chapter 5 Stage?Wise Clinical Trial Experiments in Phases I, II and III (pages 103β121): Shelemyahu Zacks
Chapter 6 Risk Management in Drug Manufacturing and Healthcare (pages 122β154): Ron S. Kenett
Chapter 7 The Twenty?First Century Challenges in Drug Development (pages 155β166): Yafit Stark
Chapter 8 The Issue of Bias in Combined Modelling and Monitoring of Health Outcomes (pages 167β184): Olivia A. J. Grigg
Chapter 9 Disease Mapping (pages 185β218): Annibale Biggeri and Dolores Catelan
Chapter 10 Process Indicators and Outcome Measures in the Treatment of Acute Myocardial Infarction Patients (pages 219β229): Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni and Fabrizio Ruggeri
Chapter 11 Meta?Analysis (pages 230β249): Eva Negri
Chapter 12 The Use of Control Charts in Healthcare (pages 251β267): William H. Woodall, Benjamin M. Adams and James C. Benneyan
Chapter 13 Common Challenges and Pitfalls Using SPC in Healthcare (pages 268β285): Victoria Jordan and James C. Benneyan
Chapter 14 Six Sigma in Healthcare (pages 286β308): Shirley Y. Coleman
Chapter 15 Statistical Process Control in Clinical Medicine (pages 309β331): Per Winkel and Nien Fan Zhang
Chapter 16 Modeling Kidney Allocation: A Data?Driven Optimization Approach (pages 333β352): Inbal Yahav
Chapter 17 Statistical Issues in Vaccine Safety Evaluation (pages 353β364): Patrick Musonda
Chapter 18 Statistical Methods for Healthcare Economic Evaluation (pages 365β385): Caterina Conigliani, Andrea Manca and Andrea Tancredi
Chapter 19 Costing and Performance in Healthcare Management (pages 386β404): Rosanna Tarricone and Aleksandra Torbica
Chapter 20 Statistical Issues in Healthcare Facilities Management (pages 405β425): Daniel P. O'Neill and Anja Drescher
Chapter 21 Simulation for Improving Healthcare Service Management (pages 426β444): Anne Shade
Chapter 22 Statistical Issues in Insurance/Payor Processes (pages 445β455): Melissa Popkoski
Chapter 23 Quality of Electronic Medical Records (pages 456β480): Dario Gregori and Paola Berchialla
π SIMILAR VOLUMES
Front Cover; Statistical, Mapping and Digital Approaches in Healthcare; Copyright; Contents; Introduction; Chapter 1. From the Territory to Health Territories; 1.1. Territory: originally a geographic and administrative concept; 1.2. Health territories; 1.3. Health of territories; 1.4. Understanding
Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be of particular inte