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Design and analysis of experiments in the health sciences / Gerald van Belle, Kathleen F. Kerr
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Hoboken, N.J : Wiley, c2012Edition: Online-AusgDescription: Online-Ressource (1 online resource (xv, 229 p.)) : illISBN:- 9781280768132
- 1280768134
- 9781118279694
- R858
Contents:
Summary: An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications. Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments while illustrating topics with applications and examples from randomized clinical trials and the modern topic of microarrays. The authors outline the following five types of designs that form the basis of most experimental structures: Completely randomized designs Randomized block designs Factorial designs Multilevel experiments Repeated measures designs A related website features a wealth of data sets that are used throughout the book, allowing readers to work hands-on with the material. In addition, an extensive bibliography outlines additional resources for further study of the presented topics. Requiring only a basic background in statistics, Design and Analysis of Experiments in the Health Sciences is an excellent book for introductory courses on experimental design and analysis at the graduate level. The book also serves as a valuable resource for researchers in medicine, dentistry, nursing, epidemiology, statistical genetics, and public health.Summary: Design and Analysis of Experiments in the Health Sciences -- Contents -- Preface -- 1 The Basics -- 1.1 Four Basic Questions -- 1.2 Variation -- 1.3 Principles of Design and Analysis -- 1.4 Experiments and Observational Studies -- 1.5 Illustrative Applications of Principles -- 1.6 Experiments in the Health Sciences -- 1.7 Adaptive Allocation -- 1.7.1 Equidistribution -- 1.7.2 Adaptive Allocation Techniques -- 1.8 Sample Size Calculations -- 1.9 Statistical Models for the Data -- 1.10 Analysis and Presentation -- 1.10.1 Graph the Data in Several Ways -- 1.10.2 Assess Assumptions of the Statistical Model -- 1.10.3 Confirmatory and Exploratory Analysis -- 1.10.4 Missing Data Need Careful Accounting -- 1.10.5 Statistical Software -- 1.11 Notes -- 1.11.1 Characterization Studies -- 1.11.2 Additional Comments on Balance -- 1.11.3 Linear and Nonlinear Models -- 1.11.4 Analysis of Variance Versus Regression Analysis -- 1.12 Summary -- 1.13 Problems -- 2 Completely Randomized Designs -- 2.1 Randomization -- 2.2 Hypotheses and Sample Size -- 2.3 Estimation and Analysis -- 2.4 Example -- 2.5 Discussion and Extensions -- 2.5.1 Preparing Data for Computer Analysis -- 2.5.2 Treatment Assignment in this Example -- 2.5.3 Check on Randomization -- 2.5.4 Partitioning the Treatment Sum of Squares -- 2.5.5 Alternative Endpoints -- 2.5.6 Dummy Variables -- 2.5.7 Contrasts -- 2.6 Randomization -- 2.7 Hypotheses and Sample Size -- 2.8 Estimation and Analysis -- 2.9 Example -- 2.10 Discussion and Extensions -- 2.10.1 Two Roles for ANCOVA -- 2.10.2 Partitioning of Sums of Squares -- 2.10.3 Assumption of Parallelism -- 2.11 Notes -- 2.11.1 Constrained Randomization -- 2.11.2 Assumptions of the Analysis of Variance and Covariance -- 2.11.3 When the Assumptions Don't Hold -- 2.11.4 Alternative Graphical Displays -- 2.11.5 Sample Sizes for More Than Two Levels.PPN: PPN: 809702959Package identifier: Produktsigel: ZDB-26-MYL | ZDB-38-EBR | ZDB-30-PAD | ZDB-30-PQE
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