Robust Frailty Models
Robust Frailty Models is a class of statistical survival models that extends standard frailty models by incorporating distributional assumptions or estimation techniques designed to minimize sensitivity to outliers and violations of distributional assumptions in unobserved heterogeneity.
10
Publications
449
Citations
79
Authors
57
Institutions
Publications per year
2017–2026
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57

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
124 citations

Karolinska Institutet
Stockholm, Sweden
1 h-index
2 publications
114 citations
Xuzhou Medical College
Tongshan, China
1 h-index
1 publications
22 citations
University of Houston - Downtown
Houston, United States
1 h-index
1 publications
22 citations
Institute of Genetic and Biomedical Research
Monserrato, Italy
1 h-index
2 publications
114 citations

Universidad Pública de Navarra (UPNA)
Pamplona, Spain
1 h-index
1 publications
57 citations
Sistemas Genómicos
Paterna, Spain
1 h-index
2 publications
114 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
102 citations
1–8 of 57
1 publications · 57 citations
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1 publications · 10 citations
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Repository · 1 publications · 16 citations
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1 publications · 102 citations
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1 publications · 31 citations
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