Fixed Effects Variance Decomposition is a statistical method within the broader class of error variance decomposition techniques that isolates and quantifies the proportion of outcome variation attributable to fixed effects by partitioning total variance into components associated with systematic, time-invariant individual-specific effects and residual error.
8
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2.6K
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15
Authors
13
Institutions
Publications per year
2017–2026
3
Parents
Publications
8
FMRI group analysis combining effect estimates and their variances
Gang Chen, Ziad S. Saad, Audrey Nath et al. · NeuroImage · 2011 · 181 citations · Full text
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Authors
15
- MA
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- SN
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1
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1–5 of 15
Institutions
13
Friedrich Schiller University Jena
Jena, Germany
2 h-index
3 publications
2.5K citations
UNSW Sydney
Sydney, Australia
2 h-index
2 publications
2.2K citations
Schlumberger (Ireland)
Dublin, Ireland
1 h-index
1 publications
24 citations
The University of Texas Health Science Center at Houston
Houston, United States
1 h-index
2 publications
362 citations
Bielefeld University
Bielefeld, Germany
1 h-index
2 publications
3.6K citations
National Institutes of Health
Bethesda, United States
1 h-index
1 publications
181 citations
Stockholm School of Economics
Stockholm, Sweden
1 h-index
1 publications
32 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
32 citations
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Venues
- PUB – Publications at Bielefeld University (Bielefeld University)
Repository · 1 publications · 25 citations
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- NeuroImage
1 publications · 181 citations
1
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- Comparative Political Studies
CPS · 1 publications · 122 citations
1
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- PeerJ
1 publications · 347 citations
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- Journal of Chinese Economic and Business Studies
1 publications · 32 citations
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