Design and Analysis of Experiments, Volume 3 - Special Designs and Applications

Informationen zum Autor KLAUS HINKELMANN, PhD , is Professor Emeritus of Statistics at the Virginia Polytechnic Institute and State University Department of Statistics. A Fellow of the American Statistical Association and the American Association for the Advancement of Science, Dr. Hinkelmann has published extensively in the areas of design of experiments, statistical methods, and biometry. Klappentext Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplinesDesign and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research.Featuring contributions from leading researchers and academics, the book demonstrates how the presented concepts are used across various fields from genetics and medicinal and pharmaceutical research to manufacturing, engineering, and national security. Each chapter includes an introduction followed by the historical background as well as in-depth procedures that aid in the construction and analysis of the discussed designs. Topical coverage includes:* Genetic cross experiments, microarray experiments, and variety trials* Clinical trials, group-sequential designs, and adaptive designs* Fractional factorial and search, choice, and optimal designs for generalized linear models* Computer experiments with applications to homeland security* Robust parameter designs and split-plot type response surface designs* Analysis of directional data experimentsThroughout the book, illustrative and numerical examples utilize SAS(r), JMP(r), and R software programs to demonstrate the discussed techniques. Related data sets and software applications are available on the book's related FTP site.Design and Analysis of Experiments, Volume 3 is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, and business. "The presentation by Wiley is superb, as we have come to expect. All in all, this is a first class offering." ( International Statistical Review , 1 October 2012) Zusammenfassung This third volume in the series discusses special modifications and extensions of designs that arise in certain fields of application such as genetics, bioinformatics, agriculture, medicine, manufacturing, marketing, and more. The book is written by an expert panel of contributors. Inhaltsverzeichnis Preface xvii Contributors xxi 1 Genetic Crosses Experiments 1 Murari Singh, Sudhir Gupta, and Rajender Parsad 1.1 Introduction, 1 1.2 Basic Objectives and Models, 2 1.3 Diallel Mating Design of Type I, 8 1.4 Diallel Crosses: Type II Designs, 14 1.5 Partial Diallel Crosses: No Blocking or Complete Blocks, 25 1.6 Partial Diallel Crosses in Incomplete Blocks, 32 1.7 Optimality, 44 1.8 Robustness, 59 1.9 Three- or Higher-Way Crosses, 61 1.10 Computation, 65 2 Design of Gene Expression Microarray Experiments 73 Dan Nettleton 2.1 Introduction, 73 2.2 Gene Expression Microarray Technology, 74 2.3 Preprocessing of Microarray Fluorescence Intensities, 76 2.4 Introduction to Gene Expression Microarray Experimental Design, 80 2.5 Two-Treatment Experiments Using Two-Color Microarrays, 81 2.6 Two-Color Microarray Experiments Involving More Than Two Treatments, 86 2.7 Multifactor Two-Color Microarray Experiments, 89 2.8 Phase 2 Designs for Complex Phase 1 Designs, 94

List of contents

Preface xvii
 
Contributors xxi
 
1 Genetic Crosses Experiments 1
Murari Singh, Sudhir Gupta, and Rajender Parsad
 
1.1 Introduction, 1
 
1.2 Basic Objectives and Models, 2
 
1.3 Diallel Mating Design of Type I, 8
 
1.4 Diallel Crosses: Type II Designs, 14
 
1.5 Partial Diallel Crosses: No Blocking or Complete Blocks, 25
 
1.6 Partial Diallel Crosses in Incomplete Blocks, 32
 
1.7 Optimality, 44
 
1.8 Robustness, 59
 
1.9 Three- or Higher-Way Crosses, 61
 
1.10 Computation, 65
 
2 Design of Gene Expression Microarray Experiments 73
Dan Nettleton
 
2.1 Introduction, 73
 
2.2 Gene Expression Microarray Technology, 74
 
2.3 Preprocessing of Microarray Fluorescence Intensities, 76
 
2.4 Introduction to Gene Expression Microarray Experimental Design, 80
 
2.5 Two-Treatment Experiments Using Two-Color Microarrays, 81
 
2.6 Two-Color Microarray Experiments Involving More Than Two Treatments, 86
 
2.7 Multifactor Two-Color Microarray Experiments, 89
 
2.8 Phase 2 Designs for Complex Phase 1 Designs, 94
 
3 Spatial Analysis of Agricultural Field Experiments 109
Joanne K. Stringer, Alison B. Smith, and Brian R. Cullis
 
3.1 Introduction, 109
 
3.2 Methods to Account for Spatial Variation, 110
 
3.3 A Spatial Linear Mixed Model, 116
 
3.4 Analysis of Examples, 122
 
4 Optimal Designs for Generalized Linear Models 137
John Stufken and Min Yang
 
4.1 Introduction, 137
 
4.2 Notation and Basic Concepts, 141
 
4.3 Tools for Finding Locally Optimal Designs, 145
 
4.4 GLMs with Two Parameters, 149
 
4.5 GLMs with Multiple Parameters, 155
 
4.6 Summary and Concluding Comments, 161
 
5 Design and Analysis of Randomized Clinical Trials 165
Janet Wittes and Zi-Fan Yu
 
5.1 Overview, 165
 
5.2 Components of a Randomized Clinical Trial, 168
 
5.3 Bias, 175
 
5.4 Statistical Analysis of Randomized Clinical Trials, 182
 
5.5 Failure Time Studies, 184
 
5.6 Other Topics, 206
 
6 Monitoring Randomized Clinical Trials 213
Eric S. Leifer and Nancy L. Geller
 
6.1 Introduction, 213
 
6.2 Normally Distributed Outcomes, 215
 
6.3 Brownian Motion Properties, 217
 
6.4 Brief Historical Overview of Group Sequential Methods, 219
 
6.5 Dichotomous Outcomes, 223
 
6.6 Time-to-Event Outcomes, 225
 
6.7 Unconditional Power, 227
 
6.8 Conditional Power, 229
 
6.9 Spending Functions, 232
 
6.10 Flexibility and Properties of Spending Functions, 233
 
6.11 Modifying the Trial's Sample Size Based on a Nuisance Parameter, 235
 
6.12 Sample Size Modification Based on the Interim Treatment Effect, 240
 
6.13 Concluding Remarks, 246
 
7 Adaptive Randomization in Clinical Trials 251
Lanju Zhang and William F. Rosenberger
 
7.1 Introduction, 251
 
7.2 Adaptive Randomization Procedures, 252
 
7.3 Likelihood-Based Inference, 264
 
7.4 Randomization-Based Inference, 269
 
7.5 Conclusions and Practical Considerations, 276
 
8 Search Linear Model for Identification and Discrimination 283
Subir Ghosh
 
8.1 Introduction, 283
 
8.2 General Linear Model with Fixed Effects, 284
 
8.3 Search Linear Model, 285
 
8.4 Applications, 288
 
8.5 Effects of Noise in Performance Comparison, 293
 
9 Minimum Aberration and Related Criteria for Fractional Factorial Designs 299
Hegang H. Chen and Ching-Shui Cheng
 
9.1 Introduction, 299

Report

"The presentation by Wiley is superb, as we have come to expect. All in all, this is a first class offering." ( International Statistical Review , 1 October 2012)

Product details

• Authors: K Hinkelmann, Klau Hinkelmann, Klaus Hinkelmann, Oscar Kempthorne
• Assisted by: Klaus Hinkelmann (Editor), Hinkelmann Klaus (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 02.03.2012
• EAN: 9780470530689
• ISBN: 978-0-470-53068-9
• No. of pages: 608
• Series: Wiley Series in Probability and Statistics; Wiley Series in Probability an; Wiley Series in Probability and Statistics
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Statistik, Genetik, Statistics, Klinische Studien, Life Sciences, genetics, Biowissenschaften, VERSUCHSPLANUNG, Experimental Design, Clinical Trials