Two-Sample Survival Testing is a nonparametric statistical method used to compare the survival distributions of two independent groups by assessing whether the observed differences in their time-to-event data are statistically significant, distinguishing it from other survival analysis techniques by focusing specifically on hypothesis testing between two samples without assuming parametric distributional forms.
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2017–2026
5
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49
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43
George Washington University
Washington, United States
4 h-index
4 publications
497 citations
University of Maryland, College Park
College Park, United States
3 h-index
3 publications
295 citations
Harvard University
Cambridge, United States
3 h-index
6 publications
258 citations
Dana-Farber Cancer Institute
Boston, United States
2 h-index
3 publications
141 citations
University of Alabama at Birmingham
Birmingham, United States
2 h-index
6 publications
188 citations
Fred Hutch Cancer Center
Seattle, United States
2 h-index
5 publications
126 citations
National Heart Lung and Blood Institute
Bethesda, United States
2 h-index
4 publications
182 citations
Cancer Research And Biostatistics
Seattle, United States
2 h-index
2 publications
92 citations
1–8 of 43
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- Biometrics
12 publications · 592 citations
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- Journal of the American Statistical Association
11 publications · 914 citations
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- Biometrika
4 publications · 88 citations
4
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- Statistics in Medicine
4 publications · 79 citations
4
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- Journal of Statistical Computation and Simulation
JSCS · 2 publications · 37 citations
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