Informative Censoring
Informative Censoring is a type of missing data mechanism in longitudinal causal inference where the timing or occurrence of censoring is statistically associated with unobserved outcomes or potential confounders, thereby violating the assumption that censoring is independent of the outcome given observed covariates.
158
Publications
13.4K
Citations
546
Authors
291
Institutions
Publications per year
2017–2026
40
Variants
Dependent CensoringNon-ignorable Censoring
158
A Structural Approach to Selection Bias
Miguel A. Hernán, Sonia Hernández–Dı́az, James M. Robins · Epidemiology · 2004 · 2.8K citations
The Consistency Statement in Causal Inference
Stephen R. Cole, Constantine Frangakis · Epidemiology · 2008 · 427 citations
1–5 of 158
546
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The University of Texas MD Anderson Cancer Center, United States
3 publications · 184 citations
3
h-index
1–5 of 546
291
Harvard University
Cambridge, United States
11 h-index
22 publications
6.7K citations

Johns Hopkins University
Baltimore, United States
10 h-index
18 publications
2.4K citations
National Heart Lung and Blood Institute
Bethesda, United States
7 h-index
13 publications
1.7K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
22 publications
1.1K citations
University of California, San Francisco
San Francisco, United States
7 h-index
9 publications
208 citations
University of Missouri
Columbia, United States
7 h-index
9 publications
358 citations
Cancer Research And Biostatistics
Seattle, United States
6 h-index
12 publications
1K citations
University of Michigan
Ann Arbor, United States
6 h-index
9 publications
301 citations
1–8 of 291
20 publications · 2.3K citations
19
h-index
25 publications · 1.9K citations
18
h-index
8 publications · 834 citations
8
h-index
7 publications · 587 citations
7
h-index
7 publications · 237 citations
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1–5