Blocking Factor Analysis
Blocking Factor Analysis is a statistical method that partitions variability in experimental data by isolating the effects of nuisance variables through structured grouping, thereby enhancing treatment effect estimation precision within randomized block designs.
34
Publications
2.7K
Citations
103
Authors
49
Institutions
Publications per year
2017–2026
0
Parents
34
Efficacy of Gabapentin in Migraine Prophylaxis
Ninan T. Mathew, Alan M. Rapoport, Joel R. Saper et al. · Headache The Journal of Head and Face Pain · 2001 · 341 citations
Quality Assessment of Deblocked Images
Changhoon Yim, Alan C. Bovik · IEEE Transactions on Image Processing · 2010 · 175 citations
1–5 of 34
103
2
h-index
University at Buffalo, State University of New York, United States
2 publications · 856 citations
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 103
49
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
246 citations
West Virginia University
Morgantown, United States
2 h-index
4 publications
110 citations
University of Chicago
Chicago, United States
2 h-index
2 publications
246 citations
Iowa State University
Ames, United States
2 h-index
2 publications
856 citations

Southern Illinois University Carbondale
Carbondale, United States
2 h-index
2 publications
246 citations
University of California, Irvine
Irvine, United States
2 h-index
11 publications
1.6K citations

University of Duisburg-Essen
Essen, Germany
1 h-index
1 publications
32 citations
Colorado State University
Fort Collins, United States
1 h-index
6 publications
222 citations
1–8 of 49
3 publications · 945 citations
3
h-index
Repository · 2 publications · 42 citations
2
h-index
2 publications · 246 citations
2
h-index
1 publications · 341 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5