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""A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: A chapter on the analysis of correlated outcome data. A wealth of additional material for topics ranging from Bayesian methods to assessing model fit Rich data sets from real-world studies that demonstrate each method under discussion. Detailed examples and interpretation of the presented results as well as exercises throughout Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines"--"This Third Edition continues to focus on applications and interpretation of results from fitting regression models to categorical response variables"--"

"This is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless of the audience. As an example, many experienced researchers start to squirm when asked to give a simple explanation of the applied meaning of interactions in nonlinear models such as logistic regression. The tools in Mitchell's book make this task much more enjoyable and comprehensible"

""This book offers a practical, concise introduction to regression analysis for upper-level undergraduate students of diverse disciplines including, but not limited to statistics, the social and behavioral sciences, MBA, and vocational studies. The book’s overall approach is strongly based on an abundant use of illustrations, examples, case studies, and graphics. It emphasizes major statistical software packages, including SPSS(r), Minitab(r), SAS(r), R, and R/S-PLUS(r). Detailed instructions for use of these packages, as well as for Microsoft Office Excel(r), are provided on a specially prepared and maintained author web site. Select software output appears throughout the text. To help readers understand, analyze, and interpret data and make informed decisions in uncertain settings, many of the examples and problems use real-life situations and settings. The book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, Bayesian modeling, and time series and forecasting. New to this edition are more exercises, simplification of tedious topics (such as checking regression assumptions and model building), elimination of repetition, and inclusion of additional topics (such as variable selection methods, further regression diagnostic tests, and autocorrelation tests)"-- Provided by publisher."

"Pengantar Ekonometriks adalah salah satu mata pelajaran di mana kita bisa menganalisis suatu kegiatan untuk membuktikan apakah pernyataan atau asumsi dari penelitian kami benar atau tidak. Dari data yang kita miliki, kita bisa menggunakan beberapa hipotesis dan atau Asumsi untuk mendukung pernyataan kami dalam rangka menciptakan sebuah data yang valid . Saat ini, banyak orang yang sudah menggunakan perangkat lunak dibandingkan dengan menghitung data secara manual guna efisiensi waktu dan hasil yang lebih maksimal. Eviews adalah salah satu perangkat lunak terbaik dan praktis dalam penggunanya. Dalam tugas ini, saya akan memecahkan 10 pertanyaan dengan analisis tentang cara menggunakan Eviews dalam memecahkan pertanyaan analisis regresi sederhana dan berganda. Saya akan mencantumkan pertanyaan dan menerapkan teori dalam praktek yang telah saya pelajari dalam mata kuliah ini. Laporan ini akan Terdiri 10 pertanyaan dan akan mencakup pemecahan masalah di setiap pertanyaan. Beberapa pertanyaan mungkin memiliki gambar dari perangkat lunak Eviews yang telah saya kerjakan sebelumnya.

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Introductory Econometrics is one of the subjects where we could analyze an activity to proof whether our statement is valid using a research. From the data we?ve got, we could make several hypothesis and/or assumptions to support our statement in order to create a valid data. Now days, people use software instead of manually computing the data to create a time efficiency and a more valid results. Eviews is one of the best and practical ways to use instead of others software. In this assignment, I am going to solve 10 questions with the analysis on how to use Eviews in solving simple and multiple regression analysis questions. I?m going to state the questions and apply the theory in practice. This report will consist 10 questions and will include the problem solving in each questions. As several questions may have picture from the Eviews software."