Multilevel Parameter Estimation is a statistical inference method that belongs to the class of parameter estimation techniques, distinguished by its simultaneous estimation of parameters at multiple hierarchical levels of a model to account for structured variability across nested data groups.
200
Publications
26K
Citations
354
Authors
185
Institutions
Publications per year
2017–2026
50
Parents
Publications
200
Technometrics · 2006 · 5K citations
Sufficient Sample Sizes for Multilevel Modeling
Cora J. M. Maas, Joop J. Hox · Methodology · 2005 · 3.4K citations
Multilevel linear modelling for FMRI group analysis using Bayesian inference
Mark W. Woolrich, Timothy E.J. Behrens, Christian F. Beckmann et al. · NeuroImage · 2004 · 1.8K citations
1–5 of 200
Authors
354
- HG
11
h-index
- JR
8
h-index
- SR
6
h-index
- AG
6
h-index
- JJ
5
h-index
1–5 of 354
Institutions
185
Utrecht University
Utrecht, The Netherlands
8 h-index
17 publications
8.9K citations
KU Leuven
Leuven, Belgium
8 h-index
16 publications
408 citations
University of London
London, United Kingdom
7 h-index
11 publications
1.8K citations
London School of Economics and Political Science
London, United Kingdom
7 h-index
7 publications
376 citations
Columbia University
New York, United States
6 h-index
10 publications
3.5K citations
University College London
London, United Kingdom
6 h-index
10 publications
1.8K citations
University of California, Berkeley
Berkeley, United States
5 h-index
5 publications
921 citations
Boston College
Boston, United States
4 h-index
4 publications
330 citations
1–8 of 185
Venues
- Psychometrika
9 publications · 1.4K citations
9
h-index
- Computational Statistics & Data Analysis
CSDA · 9 publications · 750 citations
9
h-index
- Structural Equation Modeling A Multidisciplinary Journal
SEM · 7 publications · 894 citations
7
h-index
- Multivariate Behavioral Research
MBR · 7 publications · 342 citations
7
h-index
- Journal of Educational and Behavioral Statistics
7 publications · 411 citations
7
h-index
1–5