Literature DB >> 27517433

A statistical model for cancer host survival.

A Dunne1, I A Kinsella2.   

Abstract

A parametric statistical model for cancer host survival time is developed. This model is based on the disease development process. Agreement between the model and clinical data collected from 21 trophocarcinoma patients is excellent.

Entities:  

Year:  1979        PMID： 27517433     DOI： 10.1007/BF02938095

Source DB:  PubMed          Journal:  Ir J Med Sci        ISSN： 0021-1265            Impact factor:   1.568


  7 in total

1.  RATES OF GROWTH OF PULMONARY METASTASES AND HOST SURVIVAL.

Authors:  J S SPRATT; T L SPRATT
Journal:  Ann Surg       Date:  1964-02       Impact factor: 12.969

2.  Calculation of survival rates by the life table and other methods.

Authors:  R F Mould
Journal:  Clin Radiol       Date:  1976-01       Impact factor: 2.350

3.  Growth rate versus prognosis in resected primary bronchogenic carcinomas.

Authors:  J A Meyer
Journal:  Cancer       Date:  1973-06       Impact factor: 6.860

4.  Statistical models for animal survival time in mouse lymphoma.

Authors:  P C Chang
Journal:  Biometrics       Date:  1970-12       Impact factor: 2.571

Review 5.  The growth characteristics of lung cancer and its application to treatment design.

Authors:  M J Straus
Journal:  Semin Oncol       Date:  1974-09       Impact factor: 4.929

6.  A test of several parametic statistical models for estimating success rate in the treatment of carcinoma cervix uteri.

Authors:  R F Mould; J W Boag
Journal:  Br J Cancer       Date:  1975-11       Impact factor: 7.640

Review 7.  Deciphering death: a commentary on Gompertz (1825) 'On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies'.

Authors:  Thomas B L Kirkwood
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-04-19       Impact factor: 6.237
  7 in total

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