Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the whole spectrum of approaches, beginning with very simple and crude methods, working through intermediate techniques commonly used by consultant statisticians, and concluding with more recent and advanced methods. Those covered include multiple testing, response feature analysis, univariate analysis of variance approaches, multivariate analysis of variance approaches, regression models, two-stage line models, approaches to categorical data and techniques for analysing crossover designs. The theory is illustrated with examples, using real data brought to the authors during their work as statistical consultants.
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...useful in a consultant statistician's work as well as for a student's statistical computer exercises and can be recommended for both cases.
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Inside This Book
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First Sentence:
Repeated measurements arise in many diverse fields, and are possibly even more common than single measurements. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computer Centre Amdahl, Eigenvalue Pct, Test Name Value Approx, Variable Hypoth, Variable Sig, Multivariate Tests of Significance, Dimension Reduction Analysis Roots Wilks Lambda, Cell Number, Sums of Squares Source of Variation New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Repeated measurements arise in many diverse fields, and are possibly even more common than single measurements. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computer Centre Amdahl, Eigenvalue Pct, Test Name Value Approx, Variable Hypoth, Variable Sig, Multivariate Tests of Significance, Dimension Reduction Analysis Roots Wilks Lambda, Cell Number, Sums of Squares Source of Variation New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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This book cites 75
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100
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- Multivariate Analysis: 1st: International Symposium Proceedings by Paruchuri R. Krishnaiah on 4 pages
- Residuals and Influence in Regression (Monographs on Statistics and Applied Probability, 18) by R. Dennis Cook in Front Matter, and Back Matter
- Linear Models (Wiley Classics Library) by Shayle R. Searle in Back Matter (1), and Back Matter (2)
- Analysis of Survival Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by D.R. Cox in Front Matter, and Back Matter
- Subset Selection in Regression, Second Editon by Alan Miller in Front Matter
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- Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis on page 10, and Back Matter
- Variance Components: Mixed Models, Methodologies and Applications (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Poduri S.R.S. Rao in Front Matter, and Back Matter
- Statistical Computing: An Introduction to Data Analysis using S-Plus by Michael J. Crawley on page 707, and Back Matter
- Nonlinear Models for Repeated Measurement Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Marie Davidian in Front Matter, and Back Matter
- Ecological Toxicity Testing: Scale, Complexity, and Relevance by John Cairns on page 88, and page 93
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