Books about Dependent from Amazon.com

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THE APPROACH

"J. Scott Long’s approach is one that I highly commend There is a decided emphasis on the application and interpretation of the specific statistical techniques. Long works from the premise that the major difficulty with the analysis of limited and categorical dependent variables (LCDVs) is the complexity of interpreting nonlinear models, and he provides tools for interpretation that can be widely applied across the different techniques."

--Robert L. Kaufman, Sociology, Ohio State University

"A thorough and comprehensive introduction to analyzing categorical and limited dependent variables from a traditional regression perspective that provides unusually clear discussions concerning estimation, identification, and the multiplicity of models available to the researcher to analyze such data."

--Scott Hershberger, Psychology, University of Kansas

THE ORGANIZATION

"The thing that impresses me the most about this book is how organized it is. The chapters are in excellent logical sequence. There is a useful repetition of important concepts (e.g., estimation, hypothesis testing) from chapter to chapter. J. Scott Long has done a terrific job of organizing like things from disparate literatures, such as the scaler measures of fit in Chapter 4."

--Herbert L. Smith, Sociology, University of Pennsylvania

"A major strength of the book is the way that it is organized. The chapter about each technique is written in a highly organized and parallel format. First the statistical basis and assumptions for the particular model are developed, then estimation issues are considered, then issues of testing and interpretation are considered, then variations and extensions are explored."

--Robert L. Kaufman, Sociology, Ohio State University

FOR THE COURSE

"I have been teaching a course on categorical data analysis to sociology graduate students for close to 20 years, but I have never found a book with which I was happy. J. Scott Long’s book, on the other hand, is nearly ideal for my objectives and preferences, and I expect that many other social scientists will feel the same way. I will definitely adopt it the next time I teach the course. It deals with the right topics in the most desirable sequence and it is clearly written."

--Paul D. Allison, Sociology, University of Pennsylvania

Class-tested at two major universities and written by an award-winning teacher, J. Scott Long’s book gives readers unified treatment of the most useful models for categorical and limited dependent variables (CLDVs). Throughout the book, the links among models are made explicit, and common methods of derivation, interpretation, and testing are applied. In addition, Long explains how models relate to linear regression models whenever possible. In order for the reader to see how these models can be applied, Long illustrates each model with data from a variety of applications, ranging from attitudes toward working mothers to scientific productivity.

The book begins with a review of the linear regression model and an introduction to maximum likelihood estimation. It then covers the logit and probit models for binary outcomes--providing details on each of the ways in which these models can be interpreted, reviews standard statistical tests associated with maximum likelihood estimation, and considers a variety of measures for assessing the fit of a model. Long extends the binary logit and probit models to ordered outcomes, presents the multinomial and conditioned logit models for nominal outcomes, and considers models with censored and truncated dependent variables with a focus on the tobit model. He also describes models for sample selection bias and presents models for count outcomes by beginning with the Poisson regression model and showing how this model leads to the negative binomial model and zero inflated count models. He concludes by comparing and contrasting the models from earlier chapters and discussing the links between these models and models not discussed in the book, such as loglinear and event history models. Helpful exercises are included in the book with brief answers included in the appendix so that readers can practice the techniques as they read about them.

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Price: $75.00 [Notify me when price goes down.]

From bestselling author and champion of nutritional medicine Julian Whitaker comes this companion cookbook to his successful Reversing Diabetes. Dr. Julian Whitaker has helped hundreds of thousands of people with type 2 diabetes control their condition naturally and effectively through the program outlined in his book, Reversing Diabetes. Now, it's even easier for readers to reduce-or even eliminate-dependency on insulin and oral drugs with the REVERSINGDIABETESCOOKBOOK. Dr. Whitaker has created more than 200 delicious, kitchen-tested recipes, from appetizers to entrees, side dishes, desserts, and more. With full nutritional breakdowns provided, it's never been simpler for readers to manage their diabetes..
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Nearly 50% longer than the previous edition, this second edition covers new topics for fitting and interpreting models included in Stata 9. Many of the interpretation techniques have been updated to include interval as well as point estimates. The book begins with an excellent introduction to Stata and then provides a general treatment of estimation, testing, fit, and interpretation in this class of models. It covers binary, ordinal, nominal, and count outcomes in separate chapters. The final chapter discusses how to fit and interpret models with special characteristics, such as ordinal and nominal independent variables, interaction, and nonlinear terms..
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When a soldier's work takes him half-way around the world, he enlists the help of the North Star for a nightly game of catch with his son.

Night Catch is a timeless story that connects families while they are apart and offers comforting hope for their reunion..
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Two colleagues of the late Dr. Robert Atkins take on the obesity epidemic's deadly twin: type 2 diabetes Dr. Mary Vernon and Jacqueline Eberstein, RN, adapt the carb-cutting, fat-allowing Atkins nutritional approach as a preemptive strike against this fast-growing killer. Diabetes--defined here as a condition in which glucose or blood sugar is above the normal range--is viewed as a preventable problem. "What we hope we have created in this book is a realistic and practical guide to wiping out type 2, one person at a time." Since obesity is the major risk factor for diabetes, they begin with the "fat lie" (i.e., the belief that fat causes obesity) to voice the Atkins mantra: low fat means high carbs and high carbs are broken down into sugar. With a convincing mix of essay/picture testimonials, clinical studies, quizzes, checklists, and menu planners and recipes, Vernon and Eberstein make the case for diet and lifestyle changes to alter the metabolism of those at risk for diabetes. They have done a yeoman's job of translating Atkins's medical nutrition advice into a step-by-step program. One can quibble about their missionary zeal or the omnipresent eggs in the breakfast sample menus. At times, the scientific data are overly detailed or hidden within a quiz. Thankfully, there is a spot-on summary of the book's paradigm-busting ideas in the appendix. -- Barbara Mackoff.
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A Powerful Analysis of Our Oil Addiction and a New Direction for Global Energy

In 2006, world oil consumption exceeded one thousand barrels per second-a level with enormous impact on the environment, world economies, investments, and business profitability. A Thousand Barrels a Second examines the future of oil and the nature of our energy supply, revealing how governments, businesses, and individuals can meet the coming challenges with better solutions and innovations.

“A Thousand Barrels a Second is a book that arrives just in time.”-U.S. Representative Charles F. Bass, (R-NH), member House Energy and Commerce Committee

“Peter Tertzakian's analysis of world oil is a fascinating reminder that history often foretells the major turning points of the future.”-Gwyn Morgan, President & Chief Executive Officer, EnCana Corporation

“An excellent book! In my more than 40 years in the industry I can't think of a publication which has so clearly discussed the global challenges of today's demands and tomorrow's requirements.”-Peter Gaffney, Senior Partner, Gaffney, Cline & Associates

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