Sampling in Biostatics
P. Levy(Author)
Wiley (Publisher)
Book
Hardback
350 pages
978-0-471-49305-1 (ISBN)
Description
A sample is a subset of a population that can be studied or surveyed to reach conclusions about the whole population. Sampling reduces bias and errors caused by missing and inaccurate data. It also enables more accurate results in a shorter timeframe.
More details
Language
English
Place of publication
Chichester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 230 mm
ISBN-13
978-0-471-49305-1 (9780471493051)
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Schweitzer Classification
Content
Sampling Entries from Section 16 of EoB: Call-backs and mail-backs in sample surveys; Cluster sampling; Optimal Allocation; Composite estimators; Design effects; Double sampling; Finite population correction; Horvitz-Thompson estimator; Interpenetrating samples; Multistage sampling; National Center for Health Statistics; Nonresponse; Nonsampling errors; Poststratification in Survey sampling; Probability sampling; Quota, representative, and other methods of purposive sampling; Ratio and Regression estimates; Response effects in sample surveys; Sample Surveys; Sampling frames; Sampling in developing countries; Sampling with and without replacement; Sampling with probability proportionate to size; Simple random sampling; Snowball sampling; Stratified sampling; Stratified sampling; Allocation in; Systematic sampling methods; Adaptive sampling; Distance sampling; Linearization methods of variance estimation; Missing data; Missing data estimation, "hot deck" and "cold deck"; Multiple imputation methods; Network sampling; Randomized response techniques; Resampling procedures for sample surveys; Small area estimation; Software for Sample Survey Data; Misuse of standard packages; Superpopulation models in survey sampling; Telephone sampling; Entries from Other Sections: Capture-Recapture; Censuses; Data Quality in Vital and Health Statistics; Density Sampling; Diggle-Kenward Model for Dropouts; Interviewing Techniques; Missing Data in Epidemiological Studies; Questionnaire Design; Random Digit Dialing for Case-Control Studies; Surveys, Health and Morbidity; Computer-Assisted Interviewing; Entries to be commissioned: Double Sampling-Applications to Biostatistics; Cognitive Processes, Reweighting Methods for Estimation of Missing Values (all suggested by either the Series Editors or reviewers)