Literature DB >> 9658773

Adjusting and comparing survival curves by means of an additive risk model.

P H Zahl1, O O Aalen.   

Abstract

Survival curves may be adjusted for covariates using Aalen's additive risk model. Survival curves may be compared by taking the ratio of two adjusted survival curves; the ratio is denoted the generalized relative survival rate. Adjusting both survival curves for all but one of a common set of covariates gives the partial relative survival rate, which measures the covariate-specific contribution to the generalized relative survival rate. The generalized and partial relative survival rates have interpretations similar to the traditional relative survival rates frequently used in cancer epidemiology. In fact, the traditional relative survival rate can be generalized to a regression context using the additive risk model. This population-adjusted relative survival rate is an alternative and useful method for removing confounding effects of age, cohorts, and sex. The authors use a data set of malignant melanoma patients diagnosed from 1965 to 1974 in Norway. The 25-year survival of 1967 individuals is studied.

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Year:  1998        PMID: 9658773     DOI: 10.1023/a:1009633523532

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


  16 in total

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Authors:  F EDERER; L M AXTELL; S J CUTLER
Journal:  Natl Cancer Inst Monogr       Date:  1961-09

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Journal:  Stat Med       Date:  1991-05       Impact factor: 2.373

Review 3.  Frailty modelling for the excess hazard.

Authors:  P H Zahl
Journal:  Stat Med       Date:  1997-07-30       Impact factor: 2.373

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Journal:  Am Heart J       Date:  1988-04       Impact factor: 4.749

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Authors:  O O Aalen
Journal:  Stat Med       Date:  1989-08       Impact factor: 2.373

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Authors:  P K Andersen; M Vaeth
Journal:  Biometrics       Date:  1989-06       Impact factor: 2.571

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Authors:  R W Makuch
Journal:  J Chronic Dis       Date:  1982

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Authors:  H A Verheul; E Dekker; P Bossuyt; A C Moulijn; A J Dunning
Journal:  Lancet       Date:  1993-04-03       Impact factor: 79.321

9.  A proportional regression model for 20 year survival of colon cancer in Norway.

Authors:  P H Zahl
Journal:  Stat Med       Date:  1995-06-15       Impact factor: 2.373

10.  Survival after liver transplantation of patients with primary biliary cirrhosis in the Nordic countries. Comparison with expected survival in another series of transplantations and in an international trial of medical treatment.

Authors:  S Keiding; B G Ericzon; S Eriksson; A Flatmark; K Höckerstedt; H Isoniemi; I Karlberg; N Keiding; R Olsson; K Samela
Journal:  Scand J Gastroenterol       Date:  1990-01       Impact factor: 2.423

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