|  | Faltin, Frederick / Kenett, Ron / Ruggeri, Fabrizio (Hrsg.) Statistical Methods in Healthcare
  1. Auflage August 2012 105,- Euro 2012. 520 Seiten, Hardcover ISBN 978-0-470-67015-6 - John Wiley & Sons
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| Kurzbeschreibung This book provides a comprehensive, in-depth treatment of statistical methods in healthcare. The book uses an integrated, case study-based approach, with focus on applications to make a go-to reference source for practitioners and specialists in health care and drug development. Offering a broad coverage of standards and established methods through leading-edge techniques, this book looks at the statistical methods used in planning, delivering, and monitoring healthcare. Also covered are the statistical aspects of the development and production of pharmaceuticals and medical devices.
Aus dem Inhalt Foreword xix
Preface xxi
Editors xxiii
Contributors xxv
Part One STATISTICS IN THE DEVELOPMENT OF PHARMACEUTICAL PRODUCTS
1 Statistical Aspects in ICH, FDA and EMA Guidelines 3 Allan Sampson and Ron S. Kenett
Synopsis 3
References 19
2 Statistical Methods in Clinical Trials 22 Telba Irony, Caiyan Li and Phyllis Silverman
Synopsis 22
References 54
Further Reading 54
3 Pharmacometrics in Drug Development 56 Serge Guzy and Robert Bauer
Synopsis 56
4 Interactive Clinical Trial Design 78 Zvia Agur
Synopsis 78
Adaptive Clinical Trial Design Methods 99
Acknowledgements 100
References 100
5 Stage-wise Clinical Trial Experiments in Phases I, II and III 103 Shelemyahu Zacks
Synopsis 103
References 120
6 Risk Management in Drug Manufacturing and Healthcare 122 Ron S. Kenett
Synopsis 122
References 152
7 The Twenty-first Century Challenges in Drug Development 155 Yafit Stark
Synopsis 155
References 166
Part Two STATISTICS IN OUTCOMES ANALYSIS
8 The Issue of Bias in Combined Modelling and Monitoring of Health Outcomes 169 Olivia A. J. Grigg
Synopsis 169
References 182
9 Disease Mapping 185 Annibale Biggeri and Dolores Catelan
Synopsis 185
References 210
10 Process Indicators and Outcome Measures in the Treatment of Acute Myocardial Infarction Patients 219 Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni and Fabrizio Ruggeri
Synopsis 219
References 228
11 Meta-analysis 230 Eva Negri
Synopsis 230
References 247
Part Three STATISTICAL PROCESS CONTROL IN HEALTHCARE
12 The Use of Control Charts in Healthcare 253 William H. Woodall, Benjamin M. Adams and James C. Benneyan
Synopsis 253
Acknowledgements 265
References 265
13 Common Challenges and Pitfalls Using SPC in Healthcare 268 Victoria Jordan and James C. Benneyan
Synopsis 268
References 285
14 Six Sigma in Healthcare 286 Shirley Y. Coleman
Synopsis 286
References 307
15 Statistical Process Control in Clinical Medicine 309 Per Winkel and Nien Fan Zhang
Synopsis 309
Appendix A 328
15.A.1 The EWMA Chart 328
15.A.2 Logistic Regression 329
15.A.3 Autocovariance and Autocorrelation 330
Acknowledgements 330
References 330
Part Four APPLICATIONS TO HEALTHCARE POLICY AND IMPLEMENTATION
16 Modeling Kidney Allocation: A Data-driven Optimization Approach 335 Inbal Yahav
Synopsis 335
Acknowledgement 352
References 352
17 Statistical Issues in Vaccine Safety Evaluation 353 Patrick Musonda
Synopsis 353
References 362
18 Statistical Methods for Healthcare Economic Evaluation 365 Caterina Conigliani, Andrea Manca and Andrea Tancredi
Synopsis 365
References 383
19 Costing and Performance in Healthcare Management 386 Rosanna Tarricone and Aleksandra Torbica
Synopsis 386
References 403
Part Five APPLICATIONS TO HEALTHCARE MANAGEMENT
20 Statistical Issues in Healthcare Facilities Management 407 Daniel P. O'Neill and Anja Drescher
Synopsis 407
References 425
21 Simulation for Improving Healthcare Service Management 426 Anne Shade
Synopsis 426
References 444
22 Statistical Issues in Insurance/payor Processes 445 Melissa Popkoski
Synopsis 445
Reference 455
23 Quality of Electronic Medical Records 456 Dario Gregori and Paola Berchialla
Synopsis 456
References 475
Index 481
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