Developing a model-based approach that enables any cross-over trial, of any degree of imbalance, to be analyzed both for direct effects and for residual effects, using consistent procedures that employ commercially available statistical software, this text offers a guide to the analysis of cross-over designs.;Illustrating practical applications throughout with examples, this book: emphasizes the importance of choosing highly efficient designs that separate treatment and carryover effects; demonstrates the exact methodology needed to handle the analysis of data; presents a new methodology for the analysis of binary and categorical data; and considers the effects of blocking. The appendices facilitate the choosing of an appropriate design for every experimental need.
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First Sentence:
The goal of this chapter is to establish some basic tools that will enable the user to analyze any cross-over design for which the effects are estimable. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
carryover parameters, second order carryover, period treat carry, milk yield data, uniform covariance structure, indicator variable whose value, milk yield example, poor separability, first order carryover, low dose analgesic, sequence mean square, carryover term, initial baseline reading, expected normal order statistics, ith sequence, order carryover effect, separating treatment, parent design, using matrix operations, carryover effects, jth period, first treatment period, second associates, second treatment period, same randomization Key Phrases - Capitalized Phrases (CAPs): (learn more)
Period Seq, Sequence Period, Subjects Period, New York, Complete Relief, Moderate Relief, Square Prob, Iowa State University Press, High Dose Analgesic, Squares Between-subjects, Value Prob, Biometrical Journal, Dependent Variable, Effect Parameter Estimate Standard Error, Squares Treatments, Corrected Total, Design Var, Std Error of Parameter Estimate Parameter, Sum of Mean Source, Annals of Statistics, Applied Statistics, Institute Inc, Journal of the American Statistical Association, Marcel Dekker New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The goal of this chapter is to establish some basic tools that will enable the user to analyze any cross-over design for which the effects are estimable. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
carryover parameters, second order carryover, period treat carry, milk yield data, uniform covariance structure, indicator variable whose value, milk yield example, poor separability, first order carryover, low dose analgesic, sequence mean square, carryover term, initial baseline reading, expected normal order statistics, ith sequence, order carryover effect, separating treatment, parent design, using matrix operations, carryover effects, jth period, first treatment period, second associates, second treatment period, same randomization Key Phrases - Capitalized Phrases (CAPs): (learn more)
Period Seq, Sequence Period, Subjects Period, New York, Complete Relief, Moderate Relief, Square Prob, Iowa State University Press, High Dose Analgesic, Squares Between-subjects, Value Prob, Biometrical Journal, Dependent Variable, Effect Parameter Estimate Standard Error, Squares Treatments, Corrected Total, Design Var, Std Error of Parameter Estimate Parameter, Sum of Mean Source, Annals of Statistics, Applied Statistics, Institute Inc, Journal of the American Statistical Association, Marcel Dekker New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
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46
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- Randomization Tests (Statistics: A Series of Textbooks and Monographs) by Eugene Edgington in Front Matter (1), and Front Matter (2)
- Random Processes: a First Look (Statistics: A Series of Textbooks and Monographs) by Syski in Front Matter (1), and Front Matter (2)
- A Primer in Probability (Statistics: A Series of Textbooks and Monographs) by Kathleen Subrahmaniam in Front Matter (1), and Front Matter (2)
- Statistical Methods for Engineers and Scientists (Statistics: A Series of Textbooks and Monographs) by Robert M. Bethea in Front Matter (1), and Front Matter (2)
- Regression Analysis and its Application (Statistics: A Series of Textbooks and Monographs) by Richard F. Gunst in Front Matter, and page 421
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- Drug Safety Assessment in Clinical Trials (Statistics: A Series of Textbooks and Monographs) by Gilbert in Front Matter, and Back Matter
- Linear and Nonlinear Models for the Analysis of Repeated Measurements (Statistics: A Series of Textbooks and Monographs) by Edward Vonesh in Front Matter, and Back Matter
- Statistics for the 21st Century: Methodologies for Applications of the Future (Statistics: A Series of Textbooks and Monographs) by Gabor Szekely in Front Matter
- Growth Curves (Statistics: A Series of Textbooks and Monographs) by Anant Kshirsagar in Front Matter
- Item Response Theory: Parameter Estimation Techniques, Second Edition (Statistics: A Series of Textbooks and Monographs) by Frank B. Baker in Front Matter
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