caa a22 4500 605476268 CHVBK 20210128100355.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s10985-014-9298-4 doi (NATIONALLICENCE)springer-10.1007/s10985-014-9298-4 Group sequential tests for long-term survival comparisons [Elektronische Daten] [Brent Logan, Shuyuan Mo] Sometimes in clinical trials, the hazard rates are anticipated to be nonproportional, resulting in potentially crossing survival curves. In these cases, researchers are usually interested in which treatment has better long-term survival. The log-rank test and the weighted log-rank test may not be appropriate or efficient to use here, because they are sensitive to differences in survival at any time and don't just focus on long-term outcomes. Also in a prospective clinical trial, patients are entered sequentially over calendar time, so that group sequential designs may be considered for ethical, administrative and economic concerns. Here we develop group sequential methods for testing the null hypothesis that the survival curves are identical after a prespecified time point. Several classes of tests are considered, including an integrated difference in survival probabilities after this time point, and linear or quadratic combinations of two component test statistics (pointwise comparisons of survival at the time point and comparisons of hazard rates after the time point). We examine the type I errors, stopping probabilities, and powers of these tests through simulation studies under the null and different alternatives, and we apply them to a real bone marrow transplant clinical trial. Springer Science+Business Media New York, 2014 Crossing hazards nationallicence Crossing survival curves nationallicence Late survival difference nationallicence Group sequential test nationallicence Error-spending methods nationallicence Logan Brent Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, 53226-0509, Milwaukee, WI, USA aut Mo Shuyuan Novartis Pharmaceuticals Corporation, One Health Plaza, East Hanover, NJ, USA aut Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/2(2015-04-01), 218-240 1380-7870 21:2<218 2015 21 10985 https://doi.org/10.1007/s10985-014-9298-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10985-014-9298-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Logan Brent Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, 53226-0509, Milwaukee, WI, USA aut NATIONALLICENCE 700 1- Mo Shuyuan Novartis Pharmaceuticals Corporation, One Health Plaza, East Hanover, NJ, USA aut NATIONALLICENCE 773 0- Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/2(2015-04-01), 218-240 1380-7870 21:2<218 2015 21 10985