Literature DB >> 25951911

Two new defective distributions based on the Marshall-Olkin extension.

Ricardo Rocha1, Saralees Nadarajah2, Vera Tomazella3, Francisco Louzada4.   

Abstract

The presence of immune elements (generating a fraction of cure) in survival data is common. These cases are usually modeled by the standard mixture model. Here, we use an alternative approach based on defective distributions. Defective distributions are characterized by having density functions that integrate to values less than 1, when the domain of their parameters is different from the usual one. We use the Marshall-Olkin class of distributions to generalize two existing defective distributions, therefore generating two new defective distributions. We illustrate the distributions using three real data sets.

Keywords:  Cure fraction; Defective models; Gompertz distribution; Inverse Gaussian distribution; Marshall–Olkin family; Survival analysis

Mesh:

Year:  2015        PMID: 25951911     DOI: 10.1007/s10985-015-9328-x

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  7 in total

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Journal:  Br J Radiol       Date:  1959-11       Impact factor: 3.039

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Authors:  Jeremy Balka; Anthony F Desmond; Paul D McNicholas
Journal:  Lifetime Data Anal       Date:  2009-01-04       Impact factor: 1.588

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Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

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Journal:  Stat Med       Date:  1998-04-30       Impact factor: 2.373

6.  Comparison of autologous and allogeneic bone marrow transplantation for treatment of high-risk refractory acute lymphoblastic leukemia.

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Authors:  J A Laurie; C G Moertel; T R Fleming; H S Wieand; J E Leigh; J Rubin; G W McCormack; J B Gerstner; J E Krook; J Malliard
Journal:  J Clin Oncol       Date:  1989-10       Impact factor: 44.544

  7 in total

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