Multilevel Regression Analysis of Unmet Need in Ethiopia - Gulilat, Tewodros;Gotu, Butte;Darge, Tefera
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As a best-selling introductory book on the basics of Statistical Modeling, The applications of Multilevel Logistic Regression on unmet need for family planning guide provides an accessible yet comprehensive introduction to the main approaches to statistical modeling and the methods most commonly used by researchers. Written for anyone undertaking a small-scale research project, either as part of an academic course or as part of their professional development, this book provides: - A clear, straightforward introduction to the application of ordinary and multilevel logistic regression data…mehr

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Produktbeschreibung
As a best-selling introductory book on the basics of Statistical Modeling, The applications of Multilevel Logistic Regression on unmet need for family planning guide provides an accessible yet comprehensive introduction to the main approaches to statistical modeling and the methods most commonly used by researchers. Written for anyone undertaking a small-scale research project, either as part of an academic course or as part of their professional development, this book provides: - A clear, straightforward introduction to the application of ordinary and multilevel logistic regression data analysis - Explanations of the key decisions researchers need to take, on how to make appropriate decisions on the choice of the three multilevel logistic regression models - Essential checklists to guide good practice on unmet need for family planning. This book is perfect for the first-time researcher looking for guidance on the issues they should consider and traps they should avoid when embarking on multilevel logistic regression model.
Autorenporträt
Mr. Tewodros Gulilat has obtained his BSc degree in Statistics. Since then he has worked in Tax and Revenue Authority in the field of Budget and planning as expert and he is a member of ESA. But know after he has got his MSc degree in Applied Statistics the author has been working in governmental University as a lecturer of statistics.