2014, ISBN: 9781498709576

Philadelphia, PA :: Saunders, an imprint of Elsevier Inc., 2014., 2014. 4to. xiii, 405 pages. Illustrated, index. . Color printed wrappers. New. ISBN: 9781455706587 Jekel's Epidemiology… Mehr…

Philadelphia, PA :: Saunders, an imprint of Elsevier Inc., 2014., 2014. 4to. xiii, 405 pages. Illustrated, index. . Color printed wrappers. New. ISBN: 9781455706587 Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health is the only textbook that combines the disciplines of medical epidemiology, biostatistics, preventive medicine, and public health in one convenient resource. Written by renowned epidemiologists and public health experts, this text presents the information with a clinical focus, using real-life medical examples throughout. With review questions in each chapter to maximize knowledge retention and target key areas of review, it serves as an outstanding resource for USMLE prep - and is recommended by the American Board of Preventive Medicine as a top review source for its core specialty examination. - CONTENTS; Basic Epidemiologic Concepts and Principles -- Epidemiologic Data Measurements -- Epidemiologic Surveillance and Epidemic Outbreak Investigation -- The Study of Risk Factors and Causation -- Common Research Designs and Issues in Epidemiology -- Assessment of Risk and Benefit in Epidemiologic Studies -- Understanding the Quality of Data in Clinical Medicine -- Statistical Foundations of Clinical Decisions -- Describing Variation in Data -- Statistical Inference and Hypothesis Testing -- Bivariate Analysis -- Applying Statistics to Trial Design : Sample Size, Randomization, and Control for Multiple Hypotheses -- Introduction to Preventive Medicine -- Methods of Primary Prevention : Health Promotion -- Principles and Practice of Secondary Prevention -- Methods of Tertiary Prevention -- Clinical Preventive Services (United States Preventive Services Task Force) -- Chronic Disease Prevention -- Prevention of Infectious Diseases -- Mental and Behavioral Health -- Occupational Medicine -- Introduction to Public Health -- Public Health System : Structure and Function -- Public Health Practice in Communities -- Disaster Epidemiology and Surveillance -- Health Management, Health Administration, and Quality Improvement -- Health Care Organization, Policy, and Financing -- One Health : Interdependence of People, Other Species, and the Planet -- Supplement One Health : Interdependence of People, Other Species, and the Planet., Saunders, an imprint of Elsevier Inc., 2014., 2014, 0, Paperback / softback. New. Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regression, using logistic-based models in research, and writing about the subject, Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers' own analyses. All the code is available on the author's website., 6<

ISBN: 9781498709576

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerf… Mehr…

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another.Drawing on his many years of teaching logistic regression, using logistic-based models in research, and writing about the subject, Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression.R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers’ own analyses. All the code is available on the author’s website. New Textbooks>Trade Paperback>Science>Statistics & Probability>Statistics & Probability, Taylor & Francis Core >1 >T<

2015, ISBN: 1498709575

[EAN: 9781498709576], Neubuch, [PU: Taylor & Francis Inc, United States], Language: English. Brand new Book. Practical Guide to Logistic Regression covers the key points of the basic logi… Mehr…

[EAN: 9781498709576], Neubuch, [PU: Taylor & Francis Inc, United States], Language: English. Brand new Book. Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another.Drawing on his many years of teaching logistic regression, using logistic-based models in research, and writing about the subject, Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression.R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers' own analyses. All the code is available on the author's website.<

2015, ISBN: 9781498709576

Taylor & Francis Inc, Taschenbuch, 174 Seiten, Publiziert: 2015-07-09T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 12 black & white illustrations, 7 black, 0.25 kg, Statistik, Naturwis… Mehr…

Taylor & Francis Inc, Taschenbuch, 174 Seiten, Publiziert: 2015-07-09T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 12 black & white illustrations, 7 black, 0.25 kg, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Kategorien, Bücher, Schule & Lernen, Ingenieurwissenschaft & Technik, Naturwissenschaften & Technik, Fremdsprachige Bücher, Featured Categories, Englische Bücher, 7c9a6c79-19ea-4dea-90da-d7d47042d341_2301, 7c9a6c79-19ea-4dea-90da-d7d47042d341_0, Arborist Merchandising Root, acc906d0-2585-4921-a56f-3ff277850936_4901, acc906d0-2585-4921-a56f-3ff277850936_0, Special Features Stores, Taschenbücher, acc906d0-2585-4921-a56f-3ff277850936_4201, Taylor & Francis Inc, 2015<

2015, ISBN: 9781498709576

Softcover, Buch, [PU: Productivity Press]