Applied Longitudinal Analysis by Garrett Fitzmaurice
Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete responses, this book discusses the relationships among these different models, including their underlying assumptions and relative merits. It covers modern methods of regression analysis for correlated data.-
Introductory Statistics for Business and Economics
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Biostatistics
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Applied Econometric Times Series
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Sample Size Determination and Power
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Statistical Methods for Survival Data Analysis
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Bayesian Analysis for the Social Sciences
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An Elementary Introduction to Statistical Learning Theory
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The Statistical Analysis of Failure Time Data
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Regression Models for Time Series Analysis
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Statistics for Experimenters
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Loss Models
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Statistical Rules of Thumb
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Applied Logistic Regression
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Bayesian Theory
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Graphical Models in Applied Multivariate Statistics
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Introduction to Linear Regression Analysis
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Aspects of Multivariate Statistical Theory
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Fundamentals of Queueing Theory
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Statistics of Extremes
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Applied Econometric Time Series
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Structural Equations with Latent Variables
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Nonparametric Statistical Methods
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Applied Linear Regression
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Computational Statistics
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Models for Investors in Real World Markets
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Regression Analysis by Example
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Directional Statistics
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Analysis of Financial Time Series
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Statistical Intervals
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An Introduction to Probability Theory and Its Applications, Volume 2
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System Reliability Theory
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An Introduction to Categorical Data Analysis
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Markov Decision Processes
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Design and Analysis of Clinical Trials
"Every statistician should have this well written book" (Journal of Statistical Computation and Simulation, March 2006) "This [book on longitudinal analysis]...is certainly my favorite. This is a large and comprehensive book with perfect balance between development of methods and application of methodology." (Technometrics, May 2005) "...should be on the shelf of everyone interested in acquiring a modeler's or practitioner's perspective on longitudinal data analysis." (Journal of the American Statistical Association, June 2005)
GARRETT M. FITZMAURICE, ScD, is Associate Professor of Biostatistics at the Harvard School of Public Health. NAN M. LAIRD, PhD, is Professor of Biostatistics at the Harvard School of Public Health. JAMES H. WARE, PhD, is Frederick Mosteller Professor of Biostatistics and Dean for Academic Affairs at the Harvard School of Public Health. All three authors are Fellows of the American Statistical Association and members of the International Statistical Institute.
| SKU | Unavailable |
| ISBN 13 | 9780471214878 |
| ISBN 10 | 0471214876 |
| Title | Applied Longitudinal Analysis |
| Author | Garrett Fitzmaurice |
| Series | Wiley Series In Probability And Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley and Sons Ltd |
| Year published | 2004-07-01 |
| Number of pages | 536 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |