RERF Department of Statistics
Analysis Software and Code

R-Library for Excess Relative Risk (ERR) and Excess Absolute Risk (EAR) Models

This package contains eight utility functions to be used in conjunction with package ‘gnm’ for distributional families with log link in order to create various excess relative risk (ERR) or excess additive risk (EAR) regression models. For examples of the use of such models, see:

Grant, E.J., A. Brenner, H. Sugiyama, R. Sakata, A. Sadakane, M. Utada, E.K. Cahoon, C.M. Milder, M. Soda, H.M. Cullings, D.L. Preston, K. Mabuchi, and K. Ozasa, Solid Cancer Incidence among the Life Span Study of Atomic Bomb Survivors: 1958-2009. Radiat Res, 2017. 187(5): p. 513-537.
or
Brenner, A.V., D.L. Preston, R. Sakata, J. Cologne, H. Sugiyama, M. Utada, E.K. Cahoon, E. Grant, K. Mabuchi, and K. Ozasa, Comparison of All Solid Cancer Mortality and Incidence Dose-Response in the Life Span Study of Atomic Bomb Survivors, 1958-2009. Radiat Res, 2022.

The installable tar.gz archive is available here.

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