
Logistic Regression by David G Kleinbaum
As in the first edition, each chapter contains a presentation of its topic in lecture-book format together with objectives, an outline, key formulae, practice exercises, and a test. The lecture-book has a sequence of illustrations and formulae in the left column of each page and a script in the right column. This format allows the script to be read in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented.-
Regression Methods in Biostatistics
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Bioinformatics and Computational Biology Solutions Using R and Bioconductor
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Survival Analysis
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Mixed Effects Models and Extensions in Ecology with R
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Applying Quantitative Bias Analysis to Epidemiologic Data
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Mathematical and Statistical Methods for Genetic Analysis
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Statistical Design and Analysis of Biological Experiments
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Capture-Recapture: Parameter Estimation for Open Animal Populations
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Applied Multivariate Statistics with R
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A Guide to QTL Mapping with R/qtl
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Statistical Inference on Residual Life
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Epidemiologic Studies in Cancer Prevention and Screening
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Likelihood and Bayesian Inference
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The Fundamentals of Modern Statistical Genetics
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The Analysis of Gene Expression Data
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Bayesian Methods in Structural Bioinformatics
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Analysis of Genetic Association Studies
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Statistical Methods for Dynamic Treatment Regimes
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Regression with Linear Predictors
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Statistical Analysis of Panel Count Data
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Forecasting the Health of Elderly Populations
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The Use of Restricted Significance Tests in Clinical Trials
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Cancer Mortality and Morbidity Patterns in the U.S. Population
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Design, Analysis, and Interpretation of Genome-Wide Association Scans
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Proportional Hazards Regression
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Epidemiology
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Adaptive Regression for Modeling Nonlinear Relationships
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Statistical Genetics of Quantitative Traits
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Statistical Learning in Genetics
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Analysing Seasonal Health Data
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Meta-Analysis
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Nonclinical Statistics for Pharmaceutical and Biotechnology Industries
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Modern Infectious Disease Epidemiology
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Statistical Methods for Disease Clustering
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Medical Applications of Finite Mixture Models
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Analyzing Medical Data Using S-PLUS
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Modeling Survival Data: Extending the Cox Model
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Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
David G. Kleinbaum is a Professor of Epidemiology at Emory University's Rollins School of Public Health in Atlanta, GA, and an internationally recognized expert in teaching biostatistical and epidemiological concepts and methods at all levels. He is the author or co-author of several widely acclaimed textbooks including ActivEpi CD ROM, The ActivEpi Companion Textbook, Applied Regression Analysis and Other Multivariable Methods, Epidemiologic Research: Principles and Quantitative Methods, Logistic Regression-A Self-Learning Text, and Survival Analysis-A Self-Learning Text. Dr. Kleinbaum has more than 25 years of experience teaching over 100 short courses on statistical and epidemiologic methods to a variety of international audiences, and has published widely in both the methodological and applied public health literature. He is also an experienced and sought-after consultant, and is presently an ad-hoc consultant to research staff at the Centers for Disease Control and Prevention. In December 2005, Dr. Kleinbaum was the first recipient of the Association of Schools of Public Health Pfizer Award for Career Teaching Excellence. In November 2006, he also received the American Public Health Association's 2006 award for Career Teaching Excellence in Epidemiology.
Dr. Kevin M. Sullivan is an Associate Professor of Epidemiology at Emory University's Rollins School of Public Health. He has worked in the area of epidemiology and public health for over 30 years and has over 80 publications in peer-reviewed journals and has published chapters in several books. He is one of the developers of Epi Info, a freely downloadable web-based software package for the analysis of epidemiologic data published by the Centers for Disease Control and Prevention. He is also the co-author of OpenEpi, a freely downloadable web-based calculator for epidemiologic data (www.OpenEpi.com).
Ms. Nancy Barker is a statistical consultant who formerly worked at the Centers for Disease Control and Prevention. She is an Instructor in the Career MPH at the Rollins School of Public Health at Emory University where she teaches a distance learning course on basic epidemiology that uses ActivEpi CD and ActivEpi Companion Text as the course textbooks.
| SKU | Unavailable |
| ISBN 13 | 9780387953977 |
| ISBN 10 | 0387953973 |
| Title | Logistic Regression |
| Author | David G Kleinbaum |
| Series | Statistics For Biology And Health |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2002-08-12 |
| Number of pages | 527 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |





































