Cited by 651Survey Sampling and Estimation TechniquesSurvey Methodology and NonresponseStatistical Methods and Bayesian Inference

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Complex Surveys: A Guide to Analysis Using R

Lumley, Thomas·2010·Wiley eBooks

DOI 10.1002/9780470580066

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Abstract

A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presen…

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Authors: Lumley, T.
Corresponding author: Lumley, Thomas
ORCID: Lumley, Thomas
Venue: Wiley eBooks
Publisher: Wiley
Published: 2010-02-15
DOI: 10.1002/9780470580066
OpenAlex: W4254617165
Cited by: 647
References: 0
Citations by year: 2026: 96 · 2025: 67 · 2024: 52 · 2023: 50 · 2022: 57 · 2021: 58 · 2020: 40 · 2019: 24 · 2018: 33 · 2017: 23 · 2016: 23 · 2015: 32 · 2014: 23 · 2013: 18 · 2012: 40
FWCI: 6.98
Type: book
Language: en
Open access: closed
Locations: Wiley eBooks (publishedVersion)
ResearchSpace (University of Auckland) (submittedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords: survey sampling, stratified sampling, cluster sampling, post-stratification, double sampling, missing data, causal inference, probability weighting, survey weighting, regression models

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Complex Surveys: A Guide to Analysis Using R

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