Literature DB >> 1604072

Parametric versus non-parametric methods for estimating cure rates based on censored survival data.

A B Cantor1, J J Shuster.   

Abstract

If a patient's failure time is incorrectly recorded as being too early, the correction will lower the plateau of the Kaplan-Meier curve and, hence, the associated estimated cure rate. Implications of this counter-intuitive observation are discussed. In addition, a parametric approach, based on the Gompertz distribution, to the problem of cure rate estimation is presented.

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Year:  1992        PMID: 1604072     DOI: 10.1002/sim.4780110710

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  11 in total

1.  Estimating Cure Rates From Survival Data: An Alternative to Two-Component Mixture Models.

Authors:  A D Tsodikov; J G Ibrahim; A Y Yakovlev
Journal:  J Am Stat Assoc       Date:  2003-12-01       Impact factor: 5.033

Review 2.  Review and implementation of cure models based on first hitting times for Wiener processes.

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

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

Authors:  Ricardo Rocha; Saralees Nadarajah; Vera Tomazella; Francisco Louzada
Journal:  Lifetime Data Anal       Date:  2015-05-08       Impact factor: 1.588

4.  Association measures for bivariate failure times in the presence of a cure fraction.

Authors:  Lajmi Lakhal-Chaieb; Thierry Duchesne
Journal:  Lifetime Data Anal       Date:  2016-06-23       Impact factor: 1.588

5.  Is there life after parasitism? Survival, longevity, and oogenesis in Acheta domesticus (Orthoptera: Gryllidae) infected with the hairworm, Paragordius varius (Phylum: Nematomorpha).

Authors:  Christina Anaya; Matthew G Bolek
Journal:  Parasitol Res       Date:  2021-05-06       Impact factor: 2.289

6.  A proportional-hazards model for survival analysis and long-term survivors modeling: application to amyotrophic lateral sclerosis data.

Authors:  Tasnime Hamdeni; Soufiane Gasmi
Journal:  J Appl Stat       Date:  2020-10-12       Impact factor: 1.416

7.  A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database.

Authors:  Hayala Cristina Cavenague de Souza; Francisco Louzada; Pedro Luiz Ramos; Mauro Ribeiro de Oliveira Júnior; Gleici da Silva Castro Perdoná
Journal:  J Appl Stat       Date:  2021-06-01       Impact factor: 1.416

8.  Benefits and limitations of Kaplan-Meier calculations of survival chance in cancer surgery.

Authors:  Elfriede Bollschweiler
Journal:  Langenbecks Arch Surg       Date:  2003-08-14       Impact factor: 3.445

9.  Two-sample statistics for testing the equality of survival functions against improper semi-parametric accelerated failure time alternatives: an application to the analysis of a breast cancer clinical trial.

Authors:  Philippe Broët; Alexander Tsodikov; Yann De Rycke; Thierry Moreau
Journal:  Lifetime Data Anal       Date:  2004-06       Impact factor: 1.588

10.  Evaluation of the Factors Affecting the Cure Rate of Cervical Intra-Epithelial Neoplasia Recurrence Using Defective Models.

Authors:  Nastaran Hajizadeh; Ahmad Reza Baghestani; Mohamad Amin Pourhoseingholi; Ali Akbar Khadem Maboudi; Farah Farzaneh; Nafiseh Faghih
Journal:  J Res Health Sci       Date:  2021-07-12
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