Analysis of Health Surveys [Hardcover] Author: Edward L. Korn Barry I. Graubard | Language: English | ISBN:
0471137731 | Format: PDF, EPUB
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How to apply statistical methods to survey data--a guide to effective analysis of health surveys.
With large health surveys becoming increasingly available for public use, researchers with little experience in survey methods are often faced with analyzing data from surveys to address scientific and programmatic questions. This practical book provides statistical techniques for use in survey analysis, making health surveys accessible to statisticians, biostatisticians, epidemiologists, and health researchers. The authors clearly explain the theory and methods of survey analysis along with real-world applications. They draw on their work at the National Institutes of Health as well as up-to-date information from across the literature to present:
* The sampling background necessary to understand health surveys.
* The application of such techniques as t-tests, linear regression, logistic regression, and survival analysis to survey data.
* The use of sample weights in survey data analysis.
* Dealing with complications in variance estimation in large health surveys.
* Applications involving cross-sectional, longitudinal, and multiple cross-sectional surveys, and the use of surveys to perform population- based case-control analyses.
* Guidance on the correct use of statistical methods found in software packages.
* Extensive bibliography.
Direct download links available for Analysis of Health Surveys
- Hardcover: 408 pages
- Publisher: Wiley-Interscience; 1 edition (August 12, 1999)
- Language: English
- ISBN-10: 0471137731
- ISBN-13: 978-0471137733
- Product Dimensions: 9.4 x 6.3 x 0.8 inches
- Shipping Weight: 1.5 pounds (View shipping rates and policies)
- Amazon Best Sellers Rank: #748,537 in Books (See Top 100 in Books)
Basic Survey Methodology.
Statistical Analysis with Survey Data.
Sample Weights and Imputation.
Additional Issues in Variance Estimation.
Cross-Sectional Analyses.
Analysis of Longitudinal Surveys.
Analyses Using Multiple Surveys.
Population-Based Case-Control Studies.
Appendices.
References.
Indexes.
Ed Korn and Barry Graubard are two statisticians in the health industry with strong statistical training. This is a very practical and specialized book which deals strictly with health surveys. Several national surveys are discussed. Many of the standard survey sampling topics including stratified random sampling and sampling proportional to size are covered. In addition modern ways for estimating variances including jackknife, balanced half-sample replication and bootstrap are covered. Beyond the standard topics there are topics in survival analysis that are included. Other practical issues such as weighted versus unweighted estimates and the use of imputation methods are included. They also include many exercises at the end of the chapters to make the book suitable for a course on the subject. Whole chapters are dedicated to interesting and unique topics such as "Analysis of Longitudinal Surveys", Chapter 7, "Analyses using Multiple Surveys", Chapter 8, and "Population-Based Case-Control Studies", Chapter 9. Appendix A gives detailed descriptions of the surveys analyzed in the book. It also contains a wealth of useful references from teh statistical literature. A good book for practitioners which does not require very high level mathematics.
By Michael R. Chernick
This is a very good textbook. There is no complex mathematcis, and a lot of real examples and exercises can help readers to understand the materials covered in the book. But it is too simple if it is used as a professional reference. It tries to cover basic survey methodology, weighting, variance estimation, cross-sectional analyses, longitudinal surveys and case-control studies in only such a small book (less than 400 pages). Definately, it can not touch advanced parts of these areas. Anyway, it is very good for college students. You can learn a lot of very interesting ideas though this book even you do not have any knowledge about survey sampling and biostatistics.
By A Customer
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