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Advanced Statistics for Testing Assumed Causal Relationships

Advanced Statistics for Testing Assumed Causal Relationships
Author: Hooshang Nayebi
Publisher: Springer Nature
Total Pages: 125
Release: 2020-08-15
Genre: Mathematics
ISBN: 303054754X
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This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.

Advanced Statistics for Testing Assumed Causal Relationships

Advanced Statistics for Testing Assumed Causal Relationships
Author: Hooshang Nayebi
Publisher: Springer
Total Pages: 113
Release: 2021-08-30
Genre: Mathematics
ISBN: 9783030547561
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Download Advanced Statistics for Testing Assumed Causal Relationships Book in PDF, ePub and Kindle

This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.

Practical Approaches to Causal Relationship Exploration

Practical Approaches to Causal Relationship Exploration
Author: Jiuyong Li
Publisher: Springer
Total Pages: 87
Release: 2015-03-02
Genre: Computers
ISBN: 3319144332
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This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for causal discovery. The last two methods employ association rule mining for efficient causal hypothesis generation, and a partial association test and retrospective cohort study for validating the hypotheses. All four methods are innovative and effective in identifying potential causal relationships around a given target, and each has its own strength and weakness. For each method, a software tool is provided along with examples demonstrating its use. Practical Approaches to Causal Relationship Exploration is designed for researchers and practitioners working in the areas of artificial intelligence, machine learning, data mining, and biomedical research. The material also benefits advanced students interested in causal relationship discovery.

Regression Methods in Biostatistics

Regression Methods in Biostatistics
Author: Eric Vittinghoff
Publisher: Springer Science & Business Media
Total Pages: 346
Release: 2006-03-30
Genre: Mathematics
ISBN: 0387272550
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Here is a unified, readable introduction to multipredictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes. The authors describe shared elements in methods for selecting, estimating, checking, and interpreting each model, and show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.

Comparative Analysis of Trade and Finance in Emerging Economies

Comparative Analysis of Trade and Finance in Emerging Economies
Author: William A. Barnett
Publisher: Emerald Group Publishing
Total Pages: 265
Release: 2023-04-10
Genre: Business & Economics
ISBN: 1804557587
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This volume of the International Symposia in Economic Theory and Econometrics explores the latest economic and financial developments in Africa and Asia.

Computational Intelligence in Recent Communication Networks

Computational Intelligence in Recent Communication Networks
Author: Mariya Ouaissa
Publisher: Springer Nature
Total Pages: 279
Release: 2022-02-21
Genre: Technology & Engineering
ISBN: 3030771857
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Download Computational Intelligence in Recent Communication Networks Book in PDF, ePub and Kindle

This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development.

The SAGE Handbook of Regression Analysis and Causal Inference

The SAGE Handbook of Regression Analysis and Causal Inference
Author: Henning Best
Publisher: SAGE
Total Pages: 425
Release: 2013-12-20
Genre: Social Science
ISBN: 1473908353
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′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

Applied Linear Statistical Models

Applied Linear Statistical Models
Author: Michael H. Kutner
Publisher: McGraw-Hill/Irwin
Total Pages: 1396
Release: 2005
Genre: Mathematics
ISBN: 9780072386882
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Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.

Epidemiology and the Delivery of Health Care Services

Epidemiology and the Delivery of Health Care Services
Author: Denise M. Oleske
Publisher: Springer Science & Business Media
Total Pages: 407
Release: 2007-05-08
Genre: Medical
ISBN: 030647557X
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This completely revised and updated edition of an outstanding text addresses the fundamental knowledge of epidemiological methods and statistics that can be applied to evolving systems, programs, technologies, and policies. This edition presents new chapters on causal thinking, ethics, and web resources, analyzes data on multinational increases in poverty and longevity, details the control of transmissible diseases, and explains quality management, and the evaluation of healthcare system performance.

Customer Satisfaction Research Management

Customer Satisfaction Research Management
Author: Derek R. Allen
Publisher: Quality Press
Total Pages: 265
Release: 2004-02-11
Genre: Business & Economics
ISBN: 0873893352
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Successful organizations have shifted from being product-based organizations to customer-based organizations, and customer satisfaction management (CSM) is an integral aspect of this new way of thinking. Successfully measuring customer satisfaction can be complicated and very detailed, requiring a great deal of in depth research and analysis. Customer Satisfaction Research Management is intended for advanced service quality managers and marketing researchers involved in the management of customer satisfaction programs. This is the third book in a series by author Derek Allen, focusing on customer satisfaction measurement, analysis, and implementation. Allen begins with the assumption that the reader has at least a minimal familiarity with the psychometric aspects of customer satisfaction measurement, statistical analysis, and linkage research that attempts to establish a causal relationship between customer attitudes and business outcomes. He then builds on this base to first discuss the theoretical relationship between customer satisfaction and financial performance, and then to dive deep into specific applications of customer satisfaction programs. Some of the areas covered include dealing with the challenges of conducting global customer satisfaction measurement programs, linking performance metrics to management compensation systems and financial outcomes, and results deployment. "This book will prove an invaluable resource for research managers charged with developing and implementing customer satisfaction research programs for their organization." Albrecht (Al) Grabenstein First Vice President, Corporate Marketing Comerica "This book describes with outstanding examples how insights gained from deep analysis of customer satisfaction research results can be used to create successful customer relationship marketing strategies and to design effective business processes which improve both customer satisfaction and business results." Lyle Kan Senior Vice President, Performance Management Countrywide Home Loans "Derek Allen offers managers of customer retention programs the tools necessary for the implementation and management of a successful program Managers whose companies have customer relationship management systems in place will also find the discussions on CRM, marketing research, and customer satisfaction very useful." Manuel Gutierrez Director of Market Research Kohler Co.