Rich Sampling
Rich Sampling is a methodological contribution in the field of sampling design that systematically increases data density and granularity relative to sparse alternatives to enhance representativeness and detection accuracy.
61
Publications
4K
Citations
163
Authors
122
Institutions
Publications per year
2017–2026
21
Parents
61
Heather Ames, Claire Glenton, Simon Lewin · BMC Medical Research Methodology · 2019 · 600 citations · Full text
1–5 of 61
163
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FORS – Swiss Centre of Expertise in the Social Sciences, Switzerland
1 publications · 13 citations
1
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1
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1–5 of 163
122
Centre for Economic Policy Research
London, United Kingdom
3 h-index
3 publications
334 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
112 citations
Research Institute of Industrial Economics
Stockholm, Sweden
2 h-index
6 publications
117 citations
KU Leuven
Leuven, Belgium
2 h-index
4 publications
202 citations
Aalto University
Espoo, Finland
2 h-index
3 publications
56 citations

BI Norwegian Business School
Oslo, Norway
2 h-index
2 publications
39 citations

University of Tübingen
Tübingen, Germany
2 h-index
4 publications
122 citations
George Washington University
Washington, United States
2 h-index
2 publications
29 citations
1–8 of 122
Repository · 3 publications · 50 citations
3
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2 publications · 53 citations
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2 publications · 358 citations
2
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JOLE · 2 publications · 407 citations
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PIJPSM · 2 publications · 254 citations
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