Analysis of Health Surveys
Analysis of Health Surveys Books
Product Description
How to apply statistical methods to survey data—a guide to effective analysis of health surveys.
With large health surveys apt increasingly available for broadcast use, researchers with small experience in survey methods are often faced with analyzing data from surveys to address scientific and programmatic questions. This matter-of-fact book provides statistical techniques for use in survey analysis, making health surveys accessible to statisticians, biostatisticians, epidemiologists, and health researchers. The authors clearly clarify the theory and methods of survey analysis by the side of with real-world applications. They draw on their work at the National Institutes of Health as well as up-to-date in rank from across the literature to bestow:
- The sampling background necessary to know 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 thwart-sectional, longitudinal, and multiple thwart-sectional surveys, and the use of surveys to perform populace- based case-control analyses.
- Guidance on the right use of statistical methods found in software packages.
- Extensive bibliography.
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