allogeneic marrow
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2019 ◽  
Vol 25 (3) ◽  
pp. S200-S201
Author(s):  
Elizabeth Harvey ◽  
Dean Merkel ◽  
Sunil Abhyankar ◽  
Leyla Shune
Keyword(s):  

Author(s):  
Durga Kutal ◽  
Lianfen Qian

This paper considers a non-mixture cure model for right censored data. It utilizes the maximum likelihood method to estimate model parameters in the non-mixture cure model. The simulation study is based on Fréchet susceptible distribution to evaluate the performance of the method. Comparing with Weibull and exponentiated exponential distributions, the non-mixture Fréchet distribution is shown to be the best in modeling a real data on allogeneic marrow HLA-matched donors and ECOG phase III clinical trial e1684 data.


2018 ◽  
Vol 93 (8) ◽  
pp. E185-E186
Author(s):  
Andrea Bacigalupo ◽  
Maria Teresa Van Lint ◽  
Simona Sica ◽  
Luca Laurenti ◽  
Maria Belen Rosales ◽  
...  

Author(s):  
Luisa F. Echeto ◽  
Ingeborg J. De Kok ◽  
Debra Sacco ◽  
Susan J. Drapeau ◽  
Lyndon F. Cooper

2013 ◽  
Vol 28 (6) ◽  
pp. 975-978 ◽  
Author(s):  
Keisuke Sugimoto ◽  
Naoki Sakata ◽  
Shinsuke Fujita ◽  
Tomoki Miyazawa ◽  
Hitomi Nishi ◽  
...  

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