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Odds Ratios in the Analysis of Contingency Tables

Odds Ratios in the Analysis of Contingency Tables Author : Tamás Rudas
Release : 1998
Publisher : SAGE
ISBN : 9780761903628
File Size : 58.38 MB
Format : PDF
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This volume shows how odds ratios can be used as a framework for understanding log-linear models. Moving systematically from the paradigmatic 2x2 case to more complicated cases, the author defines the odds ratio and demonstrates how it is a measure of association for tabular analysis. Real-world examples are consistently provided throughout the volume. By presenting categorical data models in a unified framework, you will learn not only how these models are related, but also additional interpretations of these models, not usually covered in other texts.

Odds Ratios in the Analysis of Contingency Tables

Odds Ratios in the Analysis of Contingency Tables Author : Tamás Rudas
Release : 1998
Publisher : SAGE
ISBN : 9780761903628
File Size : 86.58 MB
Format : PDF, Kindle
Download : 616
Read : 392

This volume shows how odds ratios can be used as a framework for understanding log-linear models. Moving systematically from the paradigmatic 2x2 case to more complicated cases, the author defines the odds ratio and demonstrates how it is a measure of association for tabular analysis. Real-world examples are consistently provided throughout the volume. By presenting categorical data models in a unified framework, you will learn not only how these models are related, but also additional interpretations of these models, not usually covered in other texts.

Statistical Analysis of Contingency Tables

Statistical Analysis of Contingency Tables Author : Morten Fagerland
Release : 2017-07-28
Publisher : CRC Press
ISBN : 1315356554
File Size : 56.47 MB
Format : PDF, ePub, Docs
Download : 115
Read : 306

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables. For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated. Topics such as diagnostic accuracy, inter-rater reliability, and missing data are also covered. The presentation is concise and easily accessible for readers with diverse professional backgrounds, with the mathematical details kept to a minimum. For more information, including a sample chapter and software, please visit the authors' website.

Contingency Table Analysis

Contingency Table Analysis Author : Maria Kateri
Release : 2014-05-17
Publisher : Springer
ISBN : 0817648119
File Size : 53.77 MB
Format : PDF
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Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision making. Combining both theory and applications, this book presents models and methods for the analysis of two- and multidimensional-contingency tables. An excellent reference for advanced undergraduates, graduate students, and practitioners in statistics as well as biosciences, social sciences, education, and economics, the work may also be used as a textbook for a course on categorical data analysis. Prerequisites include basic background on statistical inference and knowledge of statistical software packages.

Multiway Contingency Tables Analysis for the Social Sciences

Multiway Contingency Tables Analysis for the Social Sciences Author : Thomas D. Wickens
Release : 2014-02-25
Publisher : Psychology Press
ISBN : 1317784782
File Size : 21.77 MB
Format : PDF
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This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.

Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition

Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition Author : David J. Sheskin
Release : 2020-06-09
Publisher : CRC Press
ISBN : 1439858047
File Size : 30.13 MB
Format : PDF, Mobi
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Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th

Applied Statistical Genetics with R

Applied Statistical Genetics with R Author : Andrea S. Foulkes
Release : 2009-04-28
Publisher : Springer Science & Business Media
ISBN : 038789554X
File Size : 23.29 MB
Format : PDF, ePub, Mobi
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Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R.

The Association Graph and the Multigraph for Loglinear Models

The Association Graph and the Multigraph for Loglinear Models Author : Harry J. Khamis
Release : 2011-01-12
Publisher : SAGE
ISBN : 1452238952
File Size : 86.2 MB
Format : PDF
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The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

The Unbounded Community

The Unbounded Community Author : Kenneth A. Scherzer
Release : 2014-12-01
Publisher : Duke University Press
ISBN : 0822398753
File Size : 37.85 MB
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Stick ball, stoop sitting, pickle barrel colloquys: The neighborhood occupies a warm place in our cultural memory—a place that Kenneth A. Scherzer contends may have more to do with ideology and nostalgia than with historical accuracy. In this remarkably detailed analysis of neighborhood life in New York City between 1830 and 1875, Scherzer gives the neighborhood its due as a complex, richly textured social phenomenon and helps to clarify its role in the evolution of cities. After a critical examination of recent historical renderings of neighborhood life, Scherzer focuses on the ecological, symbolic, and social aspects of nineteenth-century community life in New York City. Employing a wide array of sources, from census reports and church records to police blotters and brothel guides, he documents the complex composition of neighborhoods that defy simple categorization by class or ethnicity. From his account, the New York City neighborhood emerges as a community in flux, born out of the chaos of May Day, the traditional moving day. The fluid geography and heterogeneity of these neighborhoods kept most city residents from developing strong local attachments. Scherzer shows how such weak spatial consciousness, along with the fast pace of residential change, diminished the community function of the neighborhood. New Yorkers, he suggests, relied instead upon the "unbounded community," a collection of friends and social relations that extended throughout the city. With pointed argument and weighty evidence, The Unbounded Community replaces the neighborhood of nostalgia with a broader, multifaceted conception of community life. Depicting the neighborhood in its full scope and diversity, the book will enhance future forays into urban history.

Categorical Data Analysis

Categorical Data Analysis Author : Alan Agresti
Release : 2003-03-31
Publisher : John Wiley & Sons
ISBN : 0471458767
File Size : 38.34 MB
Format : PDF, Docs
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Amstat News asked three review editors to rate their topfive favorite books in the September 2003 issue. CategoricalData Analysis was among those chosen. A valuable new edition of a standard reference "A 'must-have' book for anyone expecting to do research and/orapplications in categorical data analysis." –Statistics in Medicine on Categorical Data Analysis,First Edition The use of statistical methods for categorical data hasincreased dramatically, particularly for applications in thebiomedical and social sciences. Responding to new developments inthe field as well as to the needs of a new generation ofprofessionals and students, this new edition of the classicCategorical Data Analysis offers a comprehensiveintroduction to the most important methods for categorical dataanalysis. Designed for statisticians and biostatisticians as well asscientists and graduate students practicing statistics,Categorical Data Analysis, Second Edition summarizes thelatest methods for univariate and correlated multivariatecategorical responses. Readers will find a unified generalizedlinear models approach that connects logistic regression andPoisson and negative binomial regression for discrete data withnormal regression for continuous data. Adding to the value in thenew edition is coverage of: Three new chapters on methods for repeated measurement andother forms of clustered categorical data, including marginalmodels and associated generalized estimating equations (GEE)methods, and mixed models with random effects Stronger emphasis on logistic regression modeling of binaryand multicategory data An appendix showing the use of SAS for conducting nearly allanalyses in the book Prescriptions for how ordinal variables should be treateddifferently than nominal variables Discussion of exact small-sample procedures More than 100 analyses of real data sets to illustrateapplication of the methods, and more than 600 exercises An Instructor's Manual presenting detailed solutions to allthe problems in the book is available from the Wiley editorialdepartment.

Data Analysis

Data Analysis Author : Michael Lewis-Beck
Release : 1995
Publisher : SAGE
ISBN : 9780803957725
File Size : 26.22 MB
Format : PDF, ePub
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This accessible introduction to data analysis focuses on the interpretation of statistical results, in particular those which come from nonexperimental social research. It will provide social science researchers with the tools necessary to select and evaluate statistical tests appropriate for their research question. Using a consistent data-set throughout the book to illustrate the various analytic techniques, Michael Lewis-Beck covers topics such as univariate statistics, measures of association, the statistical significance of the relationship between two variables, simple regression in which the dependent variable is influenced by a single independent variable, and multiple regression.

Interaction Effects in Logistic Regression

Interaction Effects in Logistic Regression Author : James Jaccard
Release : 2001-02-21
Publisher : SAGE
ISBN : 9780761922070
File Size : 61.74 MB
Format : PDF, Docs
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This work introduces general strategies for testing interactions in logistic regression as well as providing the tools to interpret and understand the meaning of coefficients in equations with product terms.

Internet Data Collection

Internet Data Collection Author : Samuel J. Best
Release : 2004-04-29
Publisher : SAGE
ISBN : 9780761927105
File Size : 67.13 MB
Format : PDF, ePub, Docs
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Designed for researchers and students alike, the volume describes how to perform each stage of the data collection process on the Internet, including sampling, instrument design, and administration. Through the use of non-technical prose and illustrations, it details the options available, describes potential dangers in choosing them, and provides guidelines for sidestepping them. In doing so, though, it does not simply reiterate the practices of traditional communication modes, but approaches the Internet as a unique medium that necessitates its own conventions.

Processing Data

Processing Data Author : Linda B. Bourque
Release : 1992-06-06
Publisher : SAGE
ISBN : 9780803947412
File Size : 67.52 MB
Format : PDF, Mobi
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This volume highlights the theory that decisions made during the design of a data collection instrument influence the kind of data and the format of the data that are available for analysis. Opening with a discussion on the selection of the data collection technique(s) and how this impacts on data processing and the data for later analysis, the book covers key issues such as: should you create your own instrument for a questionnaire? how do you test a questionnaire? what are the characteristics of good data processing? how to deal with missing data? how to scale an evaluation and create subfiles for analysis? In addition, each major section concludes with examples and when appropriate, directs the reader to commonly available computer software that can aid in data processing.

Monte Carlo Simulation

Monte Carlo Simulation Author : Christopher Z. Mooney
Release : 1997-04-07
Publisher : SAGE
ISBN : 9780803959439
File Size : 72.82 MB
Format : PDF, Docs
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The author explains the logic behind the method and demonstrates its uses for social and behavioral research in: conducting inference using statistics with only weak mathematical theory; testing null hypotheses under a variety of plausible conditions; assessing the robustness of parametric inference to violations of its assumptions; assessing the quality of inferential methods; and comparing the properties of two or more estimators. In addition, Christopher Z Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and uses several research examples to demonstrate these principles. This volume will enable researchers to execute Monte Carlo Simulation effectively and to interpret the estimated sampling distribution generated from its use.

Quantile Regression

Quantile Regression Author : Lingxin Hao
Release : 2007-04-18
Publisher : SAGE Publications
ISBN : 1483316904
File Size : 55.45 MB
Format : PDF
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Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao and Naiman show, in their application of quantile regression to empirical research, how this model yields a more complete understanding of inequality. Inequality is a perennial concern in the social sciences, and recently there has been much research in health inequality as well. Major software packages have also gradually implemented quantile regression. Quantile Regression will be of interest not only to the traditional social science market but other markets such as the health and public health related disciplines. Key Features: Establishes a natural link between quantile regression and inequality studies in the social sciences Contains clearly defined terms, simplified empirical equations, illustrative graphs, empirical tables and graphs from examples Includes computational codes using statistical software popular among social scientists Oriented to empirical research

Reliable Software Technologies -- Ada-Europe 2013

Reliable Software Technologies -- Ada-Europe 2013 Author : Hubert B. Keller
Release : 2013-05-27
Publisher : Springer
ISBN : 3642386016
File Size : 37.86 MB
Format : PDF, ePub
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This book constitutes the refereed proceedings of the 18th Ada-Europe International Conference on Reliable Software Technologies, Ada-Europe 2013, was held in Berlin, Germany, in June 2013. The 11 full papers presented were carefully reviewed and selected from various submissions. They are organized in topical sections on multi-core and distributed systems; Ada and Spark; dependability; and real-time systems.

Applied Meta-Analysis for Social Science Research

Applied Meta-Analysis for Social Science Research Author : Noel A. Card
Release : 2015-10-06
Publisher : Guilford Publications
ISBN : 1462525008
File Size : 29.54 MB
Format : PDF, ePub
Download : 703
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Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ