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Handbook of the logistic distribution
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ISBN: 0824785878 Year: 1992 Volume: vol 123 Publisher: New York Basel Hong Kong Dekker

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Book
Applied logistic regression analysis
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ISBN: 9781412983433 Year: 2002 Publisher: Thousand Oaks, [Calif.] ; London : SAGE,

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The focus in this second edition is on logistic regression models for individual level (but aggregate or grouped) data. Multiple cases for each possible combination of values of the predictors are considered in detail.


Book
Logistic regression : from introductory to advanced concepts and applications.
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ISBN: 9781412974837 Year: 2010 Publisher: London Sage

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Droit de la logistique : vers un droit innovant luxembourgeois
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ISBN: 9782919782826 Year: 2021 Publisher: Bertrange : Legitech,

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Applied logistic regression analysis
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ISBN: 0761922083 1412983436 1452208158 9780761922087 Year: 2002 Volume: 106 Publisher: Thousand Oaks London New Delhi : Sage Publications,


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Logistic regression : a self-learning text
Authors: --- ---
ISBN: 9781441917416 1441917411 Year: 2010 Publisher: New York : Springer,

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This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: ¢ Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing ¢ Assessing Goodness to Fit for Logistic Regression ¢ Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text. David Kleinbaum is Professor of Epidemiology at Emory University Rollins School of Public Health in Atlanta, Georgia. Dr. Kleinbaum is internationally known for his innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has taught more than 200 courses worldwide. The recipient of numerous teaching awards, he received the first Association of Schools of Public Health Pfizer Award for Distinguished Career Teaching in 2005. Mitchel Klein is Research Assistant Professor with a joint appointment in the Environmental and Occupational Health Department and the Epidemiology Department at Emory University Rollins School of Public Health. He has successfully designed and taught epidemiologic methods physicians at Emory's Master of Science in Clinical Research Program. Dr. Klein is co-author with Dr. Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text.

Solutions manual to accompany Applied survival analysis: regression modeling of time to event data
Authors: --- ---
ISBN: 0471249793 Year: 2002 Publisher: New York Wiley


Book
Logistic Regression : A Self-Learning Text
Authors: ---
ISBN: 1441917411 9786613569202 1280391286 144191742X Year: 2010 Publisher: New York, NY : Springer New York : Imprint: Springer,

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Abstract

This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: • Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing • Assessing Goodness to Fit for Logistic Regression • Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text. David Kleinbaum is Professor of Epidemiology at Emory University Rollins School of Public Health in Atlanta, Georgia. Dr. Kleinbaum is internationally known for his innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has taught more than 200 courses worldwide. The recipient of numerous teaching awards, he received the first Association of Schools of Public Health Pfizer Award for Distinguished Career Teaching in 2005. Mitchel Klein is Research Assistant Professor with a joint appointment in the Environmental and Occupational Health Department and the Epidemiology Department at Emory University Rollins School of Public Health. He has successfully designed and taught epidemiologic methods physicians at Emory’s Master of Science in Clinical Research Program. Dr. Klein is co-author with Dr. Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text.

Keywords

Electronic books. -- local. --- Logistic regression analysis -- Textbooks. --- Medicine --- Regression analysis --- Logistic distribution --- Models, Theoretical --- Statistics as Topic --- Epidemiologic Measurements --- Epidemiologic Methods --- Investigative Techniques --- Health Care Evaluation Mechanisms --- Public Health --- Biometry --- Models, Statistical --- Regression Analysis --- Quality of Health Care --- Environment and Public Health --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Health Care Quality, Access, and Evaluation --- Health Care --- Mathematics --- Physical Sciences & Mathematics --- Health & Biological Sciences --- Medical Research --- Mathematical Statistics --- Research --- Statistical methods --- Logistic regression analysis --- Statistics. --- Epidemiology. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Diseases --- Public health --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistics for Social Sciences, Humanities, Law. --- Regression analysis. --- Logistic distribution. --- Statistical methods. --- Distribution (Probability theory) --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Health Workforce --- Statistics .

Handbook of probiotics
Authors: --- ---
ISBN: 0471154105 047119025X 9780471154105 Year: 1999 Publisher: New York Wiley

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Keywords

Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Quantitative methods (economics) --- Medicine --- Medical sciences --- Regression analysis --- Prognosis --- Logistic distribution. --- Médecine --- Analyse de régression --- Research --- Statistical methods. --- Statistical methods --- Computer programs. --- Data processing. --- Recherche --- Méthodes statistiques --- Informatique --- Logistic distribution --- Computer programs --- Data processing --- 579.6 --- 579.264 --- 579.864 --- Food --- -Intestines --- -Microorganisms --- -Germs --- Micro-organisms --- Microbes --- Microscopic organisms --- Organisms --- Microbiology --- Abdomen --- Gastrointestinal system --- Foods --- Dinners and dining --- Home economics --- Table --- Cooking --- Diet --- Dietaries --- Gastronomy --- Nutrition --- Applied microbiology --- Antagonism. Probiotics --- Lactobacillaceae. Lactobacillus --- -Handbooks, manuals, etc --- Therapeutic use --- 519.22 --- -Medical sciences --- -Regression analysis --- -Prognosis --- -Logistic distribution --- gezondheidszorg --- regressie-analyse --- wiskundige statistiek --- AA / International- internationaal --- 303.5 --- 519.536 --- Distribution (Probability theory) --- Medical prognosis --- Prognosis of diseases --- Forecasting --- Diagnosis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Basic medical sciences --- Basic sciences, Medical --- Biomedical sciences --- Health sciences --- Preclinical sciences --- Sciences, Medical --- Life sciences --- Clinical sciences --- Medical profession --- Human biology --- Pathology --- Physicians --- Statistical theory. Statistical models. Mathematical statistics in general --- -Statistical methods --- -Computer programs --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek). --- Intestines --- Microorganisms --- Probiotics --- Bacterial Physiology. --- Food, Formulated. --- pharmacology. --- therapeutic use. --- -Applied microbiology --- 579.864 Lactobacillaceae. Lactobacillus --- 579.264 Antagonism. Probiotics --- 579.6 Applied microbiology --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- -579.864 Lactobacillaceae. Lactobacillus --- Germs --- Médecine --- Analyse de régression --- Méthodes statistiques --- Statistical methods&delete& --- Research&delete& --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Probiotic supplements --- Dietary supplements --- Health Workforce --- Primitive societies --- Medicine - Research - Statistical methods --- Medical sciences - Statistical methods - Computer programs --- Regression analysis - Data processing --- Prognosis - Statistical methods

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