TY  - BOOK
AU  - Nikles,Jane
AU  - Mitchell,Geoffrey
ED  - SpringerLink (Online service)
TI  - The Essential Guide to N-of-1 Trials in Health
SN  - 9789401772006
AV  - R-RZ 
U1  - 610 23
PY  - 2015///
CY  - Dordrecht
PB  - Springer Netherlands, Imprint: Springer
KW  - medicine
KW  - Pharmacy
KW  - Pharmacotherapy
KW  - Statistics
KW  - psychology
KW  - Biomedicine
KW  - Biomedicine general
KW  - Psychology, general
KW  - Statistics for Life Sciences, Medicine, Health Sciences
N1  - Preface -- Introduction -- What are N-of-1 trials?- N-of-1 trials in the behavioural sciences -- N-of-1 trials in medical contexts -- Aggregated N-of-1 trials -- Methodological considerations for N-of-1 trials -- Randomization, allocation concealment and blinding -- Data collection and quality control -- Individual reporting of N-of-1 trials to patients and clinicians -- Assessing and reporting adverse events -- Research ethics and N-of-1 trials -- Statistical analysis of N-of-1 trials -- The economics of N-of-1 trials -- Reporting N-of-1 trials to professional audiences -- Single patient open trials -- Systematic review and meta-analysis using N-of-1 trials -- Where are N-of-1 trials headed?- Index
N2  - N-of-1 trials, a type of individualized randomized controlled trial, are relevant to almost every discipline in medicine and psychology. They can tell the clinician with precision whether a treatment works in that individual, which distinguishes from the information available from most other trial designs.  They have the potential to revolutionize the way clinical medicine is practiced. Whether you are a busy clinician, a researcher or a student, this book provides everything you need to know about N-of-1 trials. Written and edited by some of the world’s leading experts on N-of-1 trials, the book presents state of the art knowledge about N-of-1 trials, with chapters on ethics, statistics, health economics, design, analysis and reporting, and more. Full of examples and well illustrated, it is a comprehensive compendium of issues surrounding the design, conduct, interpretation and implementation of N-of-1 trials in a health system
UR  - http://dx.doi.org/10.1007/978-94-017-7200-6
ER  -