Survival Data Imputation is a computational method within survival analysis that addresses missing event times or covariates by estimating unobserved censored or truncated survival data using statistical models informed by observed event occurrences, censoring indicators, and risk factors.
112
Publications
6.3K
Citations
457
Authors
284
Institutions
Publications per year
2017–2026
37
Publications
112
Modelling Survival Data in Medical Research.
Geoffrey J. McLachlan, D. Collett · Biometrics · 1994 · 1K citations
Imputing missing covariate values for the Cox model
Ian R. White, Patrick Royston · Statistics in Medicine · 2009 · 971 citations · Full text
1–5 of 112
Authors
457
- JM
6
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- SM
4
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- LR
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- DC
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- CH
3
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1–5 of 457
Institutions
284
Harvard University
Cambridge, United States
10 h-index
16 publications
461 citations
University of Michigan
Ann Arbor, United States
7 h-index
16 publications
576 citations
Cancer Research And Biostatistics
Seattle, United States
6 h-index
10 publications
380 citations
Johns Hopkins University
Baltimore, United States
5 h-index
13 publications
581 citations
Dana-Farber Cancer Institute
Boston, United States
5 h-index
9 publications
380 citations
Michigan United
Kalamazoo, United States
4 h-index
7 publications
272 citations
MRC Clinical Trials Unit at UCL
London, United Kingdom
4 h-index
4 publications
1.1K citations
UCLA Health
Los Angeles, United States
4 h-index
8 publications
256 citations
1–8 of 284
Venues
- Statistics in Medicine
19 publications · 1.8K citations
16
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- Biometrics
5 publications · 1.2K citations
5
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- Journal of the American Statistical Association
5 publications · 347 citations
5
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- BMC Medical Research Methodology
4 publications · 91 citations
4
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- Statistical Methods in Medical Research
4 publications · 78 citations
4
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