Literature DB >> 7724912

Comparison of additive and multiplicative models for reproductive risk factors and post-menopausal breast cancer.

E Lund1.   

Abstract

The mathematical multistage model of carcinogenesis proposed by Breslow and Day indicates that if hormonal risk factors for breast cancer are late-stage carcinogens then the use of an additive model (excess absolute risk) should be preferrable to the present standard use of the multiplicative model (excess relative risk). To test different models, information from a large prospective study of 431,604 women aged 45-74 years in 1970 with follow-up to 1985 on reproductive factors and post-menopausal breast cancer mortality was used to compute goodness-of-fit statistics. The relative risk function, ranging from multiplicative to additive, was explored by changing the exponent in a power transformation. The analysis found evidence of better fit by the additive compared with the multiplicative models, consistent with the proposed mathematical model.

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Year:  1995        PMID: 7724912     DOI: 10.1002/sim.4780140305

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


  3 in total

1.  Discriminative accuracy of genomic profiling comparing multiplicative and additive risk models.

Authors:  Ramal Moonesinghe; Muin J Khoury; Tiebin Liu; A Cecile J W Janssens
Journal:  Eur J Hum Genet       Date:  2010-11-17       Impact factor: 4.246

2.  Likelihood ratio test for detecting gene (G)-environment (E) interactions under an additive risk model exploiting G-E independence for case-control data.

Authors:  Summer S Han; Philip S Rosenberg; Montse Garcia-Closas; Jonine D Figueroa; Debra Silverman; Stephen J Chanock; Nathaniel Rothman; Nilanjan Chatterjee
Journal:  Am J Epidemiol       Date:  2012-11-01       Impact factor: 4.897

3.  A Likelihood Ratio Test for Gene-Environment Interaction Based on the Trend Effect of Genotype Under an Additive Risk Model Using the Gene-Environment Independence Assumption.

Authors:  Matthieu de Rochemonteix; Valerio Napolioni; Nilotpal Sanyal; Michaël E Belloy; Neil E Caporaso; Maria T Landi; Michael D Greicius; Nilanjan Chatterjee; Summer S Han
Journal:  Am J Epidemiol       Date:  2021-01-04       Impact factor: 4.897

  3 in total

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