
Applied Logistic Regression by David W Hosmer
Since the late 1960s the logistic regression (LR) model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This text offers an introduction to the LR model and examines its use in methods for modelling.-
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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Applied Longitudinal Analysis
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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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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
"..the revised text continues to provide a focused introduction to the logistic regression model and its use in methods for modelling..." (Short Book Reviews, Vol. 21, No. 2, August 2001) "In this revised and updated edition of the popular test, the authors incorporate theoretical and computing advances from the last decade." (Journal of the American Statistical Association, September 2001) "...an excellent book that balances many objectives well... All statistical practitioners...can benefit from this book...Applied Logistic Regression is an ideal choice." (Technometrics, February 2002) "...it remains an extremely valuable text for everyone working or teaching in fields like epidemiology..." (Statistics in Medicine, No.21, 2002) "...The book is a classic, extremely well written, and it includes a variety of software packages and real examples..." (The Statistician, Vol. 51, No.2, 2002)
DAVID W. HOSMER, PhD, is Professor of Biostatistics at the School of Public Health and Health Sciences at the University of Massachusetts at Amherst. STANLEY LEMESHOW, PhD, is Professor of Biostatistics and Director of the Biostatistics Program at The Ohio State University.
| SKU | Unavailable |
| ISBN 13 | 9780471356325 |
| ISBN 10 | 0471356328 |
| Title | Applied Logistic Regression |
| Author | David W Hosmer |
| Series | Wiley Series In Probability And Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley and Sons Ltd |
| Year published | 2000-09-27 |
| Number of pages | 392 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

































