Design of Experiments and Advanced Statistical Techniques in Clinical Research
Language: English
Published by Springer, 2020
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 159.93
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - Recent Statistical techniques are one of the basal evidence forclinicalresearch, a pivotal in handlingnewclinicalresearchand inevaluatingand applyingpriorresearch.This book explores various choices of statistical tools and mechanisms, analyses of the associations among different clinical attributes. It uses advanced statistical methods to describe real clinical data sets, when the clinical processes being examined are still in the process.Thisbookalso discusses distinct methods forbuildingpredictiveand probability distributionmodelsinclinicalsituations andwaystoassessthestabilityof thesemodelsand other quantitative conclusionsdrawnby realistic experimental data sets.Designofexperimentsand recent posthoctestshave beenusedincomparingtreatment effects andprecisionof theexperimentation.Thisbookalso facilitatesclinicianstowards understanding statistics andenablingthem tofollowandevaluatetherealempirical studies(formulation of randomized control trial)that pledge insight evidence base for clinical practices.This book will be a useful resource for clinicians, postgraduates scholars in medicines, clinical research beginners and academicians to nurture high-level statistical tools with extensive scope.…
Seller Inventory # 9789811582097
- Title
- Design of Experiments and Advanced Statistical Techniques in Clinical Research
- Author
- Bhamidipati Narasimha Murthy
- Publisher
- Springer
- Publication year
- 2020
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 9811582092
- ISBN 13
- 9789811582097
- Item weight
- 1,021 grams
- Dimensions
- 260x183x26 mm
Recent Statistical techniques are one of the basal evidence for clinical research, a pivotal in handling new clinical research and in evaluating and applying prior research. This book explores various choices of statistical tools and mechanisms, analyses of the associations among different clinical attributes. It uses advanced statistical methods to describe real clinical data sets, when the clinical processes being examined are still in the process. This book also discusses distinct methods for building predictive and probability distribution models in clinical situations and ways to assess the stability of these models and other quantitative conclusions drawn by realistic experimental data sets. Design of experiments and recent posthoc tests have been used in comparing treatment effects and precision of the experimentation. This book also facilitates clinicians towards understanding statistics and enabling them to follow and evaluate the real empirical studies (formulation of randomized control trial) that pledge insight evidence base for clinical practices. This book will be a useful resource for clinicians, postgraduates scholars in medicines, clinical research beginners and academicians to nurture high-level statistical tools with extensive scope.
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