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"Presenting topics in the form of questions and answers, this popular supplemental text offers a brief introduction on multiple regression on a conceptual level. Author Paul D. Allison answers the most essential questions (such as how to read and interpret multiple regression tables and how to critique multiple regression results) in the early chapters, and then tackles the less important ones (for instance, those arising from multicollinearity) in the later chapters."--Pub. desc.
Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Includes several real-world examples in full detail.
Sooner or later anyone who does statistical analysis runs into problems with missing data in which information for some variables is missing for some cases. Why is this a problem? Because most statistical methods presume that every case has information on all the variables to be included in the analysis. Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has been relying on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.
Allison Troyer is of marriageable age and needs to learn how to manage an Amish household. Can a girl who feels as faceless, purposeless, and neglected as her tattered Amish doll, find her way among strangers? James Esh likes what he sees when Allison Troyer walks into the barn. Will anything keep this brash young Amish man from stealing her affections? Aaron Zook has vowed never to lose his heart to another. Yet when James makes advances on Allison, Aaron can't help but intercede. Can threads of faith and love unite tattered hearts? Allison's Journey is book 4 in the The Brides of Webster County series. Other books in the series include Going Home: Book 1, On Her Own: Book 2, Dear to Me: Book 3.
Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to implement it using the SAS System. Allison includes several detailed, real-world examples of the social sciences to provide readers with a better understanding of the material. He also explores the differences and similarities among the many generalizations of the logistic regression model.
Kate Reddy is counting down the days until she is fifty, but not in a good way.
The continuing story of Peyton Place is once again available in paperback
In the high-stakes world of Washington politics, hotshot lawyer Andrew Martin is being put to the test. When long-time friend Senator William Jasper calls, it’s with explosive news—and a favor to ask. A sex tryst at Martin’s beach house in Anguilla has gone awry and former model Vanessa Boyd is dead. Just how far will Martin go to protect the chief justice nomination he’s built his entire career on? Staggered by the sudden death of her twin sister, archeologist Allison Boyd drops everything to fly home to her grieving family. But when she realizes that the pieces to the puzzle simply won’t add up, she is determined to discover the truth behind her sister’s death. Launching an inv...
Including a range of materials dating from the nineteenth century to the present, this comprehensive collection brings together the essential research into the historical reality of Jesus the man, his teachings, and the acts and events ascribed to him that comprise the foundational story of one of the world's central religions. br br The set features a substantial new introduction by the editor in the first volume and a full index in the last, and provides work covering all of the key aspects of the field, including the recent discussions concerning anti-Semitism in early Christianity, and the political and ideological filtering of the Jesus story through the Roman empire and beyond.
Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression - like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.