Left-truncated Data Analysis
Left-Truncated Data Analysis is a statistical methodology within survival analysis that specifically addresses data in which observations are only included if they exceed a certain threshold time, thereby accounting for the bias introduced by the absence of records before the truncation point.
98
Publications
5.2K
Citations
385
Authors
158
Institutions
Publications per year
2017–2026
34
98
Event-History Analysis for Left-Truncated Data
Guang Guo · Sociological Methodology · 1993 · 273 citations
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158

Tunghai University
Taichung, Taiwan
7 h-index
7 publications
95 citations

Johns Hopkins University
Baltimore, United States
6 h-index
7 publications
640 citations
Harvard University
Cambridge, United States
6 h-index
12 publications
501 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
6 publications
529 citations
University of Washington
Seattle, United States
3 h-index
9 publications
1.5K citations
Stanford University
Stanford, United States
3 h-index
4 publications
234 citations
University of California, Berkeley
Berkeley, United States
3 h-index
3 publications
456 citations
National Institute of Allergy and Infectious Diseases
Bethesda, United States
3 h-index
3 publications
187 citations
1–8 of 158
9 publications · 294 citations
9
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6 publications · 630 citations
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5 publications · 76 citations
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5 publications · 121 citations
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CSDA · 4 publications · 77 citations
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