Sampling of Populations: Methods and Applications

A trusted classic on the key methods in population sampling―now in a modernized and expanded new edition Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methodsfor survey design and analysis, while also exploring techniques that have developed over the past decade. The Fourth Edition successfully guides the reader through the basic concepts and procedures that accompany real-world sample surveys, such as sampling designs, problems of missing data, statistical analysis of multistage sampling data, and nonresponse and poststratification adjustment procedures. Rather than employ a heavily mathematical approach, the authors present illustrative examples that demonstrate the rationale behind common steps in the sampling process, from creating effective surveys to analyzing collected data. Along with established methods, modern topics are treated through the book's new features, which include: <ul>
<li>A new chapter on telephone sampling, with coverage of declining response rates, the creation of "do not call" lists, and the growing use of cellular phones</li> <li>A new chapter on sample weighting that focuses on adjustments to weight for nonresponse, frame deficiencies, and the effects of estimator instability</li> <li>An updated discussion of sample survey data analysis that includes analytic procedures for estimation and hypothesis testing</li> <li>A new section on Chromy's widely used method of taking probability proportional to size samples with minimum replacement of primary sampling units</li> <li>An expanded index with references on the latest research in the field</li> </ul>
All of the book's examples and exercises can be easily worked out using various software packages including SAS, STATA, and SUDAAN, and an extensive FTP site contains additional data sets. With its comprehensive presentation and wealth of relevant examples, Sampling of Populations, Fourth Edition is an ideal book for courses on survey sampling at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians who would like to refresh their knowledge of sampling techniques.

Politics & Social Sciences

Lemeshow, Stanley

Levy, Paul S.

Social Sciences

wiley

Sampling of Populations: Methods and Applications, Solutions Manual

Science & Math

Biological Sciences

This set includes Sampling of Populations: Methods and Applications, 4th Edition and Sampling of Populations: Methods and Applications, Solutions Manual, 4th Edition Now in its fourth edition, this popular sampling text is expanded and updated to incorporate the latest methods of multistage sampling, analysis of sample survey data, software manipulation, and other recent developments such as disclosure analysis and small area estimation. - It guides the reader through real-world sample surveys clearly explaining how to create effective surveys and to analyze the information gathered. - Illustrative examples detailing how statistical analysis can be performed by means of software designed specifically for analysis of sample survey data (SAS, SPSS, SUDDAN among them) have been woven throughout the text. With its comprehensive presentation and wealth of relevant examples, Sampling of Populations, Fourth Edition is an ideal book for courses on survey sampling at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians who would like to refresh their knowledge of sampling techniques.

A new edition of the definitive guide to logistic regression modeling for health science and other applications This 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: <ul>
<li>A chapter on the analysis of correlated outcome data</li> <li>A wealth of additional material for topics ranging from Bayesian methods to assessing model fit</li> <li>Rich data sets from real-world studies that demonstrate each method under discussion</li> <li>Detailed examples and interpretation of the presented results as well as exercises throughout</li> </ul>
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.

Applied Logistic Regression

Hosmer Jr., David W.

Sturdivant, Rodney X.

Applied Survival Analysis: Time-To-Event

A Practical, Up-To-Date Guide To Modern Methods In The Analysis Of Time To Event Data. The rapid proliferation of powerful and affordable statistical software packages over the past decade has inspired the development of an array of valuable new methods for analyzing survival time data. Yet there continues to be a paucity of statistical modeling guides geared to the concerns of health-related researchers who study time to event data. This book helps bridge this important gap in the literature. Applied Survival Analysis is a comprehensive introduction to regression modeling for time to event data used in epidemiological, biostatistical, and other health-related research. Unlike other texts on the subject, it focuses almost exclusively on practical applications rather than mathematical theory and offers clear, accessible presentations of modern modeling techniques supplemented with real-world examples and case studies. While the authors emphasize the proportional hazards model, descriptive methods and parametric models are also considered in some detail. Key topics covered in depth include: * Variable selection. * Identification of the scale of continuous covariates. * The role of interactions in the model. * Interpretation of a fitted model. * Assessment of fit and model assumptions. * Regression diagnostics. * Recurrent event models, frailty models, and additive models. * Commercially available statistical software and getting the most out of it. Applied Survival Analysis is an ideal introduction for graduate students in biostatistics and epidemiology, as well as researchers in health-related fields.

Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability and Statistics)

Hosmer, David W

Mathematics

Wiley-Interscience

A unique, accessible guide to current practices in population sampling. Now in its third edition, this popular sampling text continues to provide a highly readable, practical treatment of the subject. Keeping the mathematics to a minimum, it walks the reader through real-world sample surveys-from sampling designs to problems of missing data and nonresponse to estimation procedures. This expanded and updated edition reflects the many developments in the field since the publication of the Second Edition, including the latest methods of multistage sampling, analysis of sample survey data, and software manipulation. Sampling of Populations, Third Edition offers: * A wealth of examples illustrating key statistical issues with data sets available for downloading over the Internet. * An emphasis on the most widely used sampling designs today, including completely revised chapters on cluster sampling designs. * A new chapter devoted to telephone sampling and interviewing techniques-contributed by Robert Casady and James M. Lepkowski, who have made many important contributions in the area of telephone surveys. * Illustrative examples detailing how statistical analysis can be performed by means of software now available for use on personal computers and designed specifically for analysis of sample survey data. * Many new and updated practice exercises.

Sampling of Populations: Methods and Applications (Wiley Series in Survey Methodology)

From the reviews of the First Edition."An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."—Choice"Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."—Contemporary Sociology"An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."—The StatisticianIn this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.

Applied Logistic Regression, Second Edition: Book and Solutions Manual Set

Business & Money

Cook, Elizabeth D.

Management & Leadership

Solutions Manual to Accompany Applied Survival Analysis: Regression Modeling of Time to Event Data

Kim, Sunny

Sampling of Populations, Textbook and Solutions Manual: Methods and Applications (Wiley Series in Survey Methodology)

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