Analysis of Complex Survey Samples
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I present software for analysing complex survey samples in R. The sampling scheme can be explicitly described or represented by replication weights. Variance estimation uses either replication or linearisation.
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All analyses allowed for the complex survey design (clustered, stratified sample) and used longitudinal weights to account for non-random longitudinal attrition.
“All analyses allowed for the complex survey design (with its clustered, stratified sample) and used longitudinal weights to account for non-random longitudinal attrition from the sample, using the ‘survey’ and ‘srvyr’ packages in R.29–31”
From Social media use and adolescent sleep patterns: cross-sectional findings from the UK millennium cohort study (2019) · cites this paper as [30]
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References 7 · Cited by 2,425
- Authors
- Lumley, T.
- Corresponding author
- Lumley, Thomas
- ORCID
- Lumley, Thomas
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2004
- Volume
- 9
- Issue
- 8
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W1918432791
- Cited by
- 2,425
- References
- 7
- Citations by year
- 2026: 293 · 2025: 209 · 2024: 212 · 2023: 195 · 2022: 188 · 2021: 226 · 2020: 189 · 2019: 133 · 2018: 137 · 2017: 121 · 2016: 115 · 2015: 92 · 2014: 84 · 2013: 75 · 2012: 43
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Statistical Software (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Data Analysis with R
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- survey data analysis, R software, variance estimation, linearization
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