Published 1984
| Version v1
Report
Regression methods for count data with extra-binomial variation
Creators
- 1. Fred Hutchinson Cancer Research Center, Seattle, WA
- 2. Univ. of Washington, Seattle
Description
Statistical methods to analyze RERF chromosome aberration data are discussed. These data involve strong extra-binomial variation and appropriate methods to examine dose (radiation) response relationships are required. The use of a correlated probit regression model has potential for such a purpose and, in addition, possesses a natural interpretation. Methods for parameter estimation in this model are under development, as described herein. An illustration of the use of the correlated probit model is given. Other alternative procedures are also briefly discussed. 22 references, 3 tables
Additional details
Publishing Information
- Imprint Title
- Atomic bomb survivor data: utilization and analysis
- Journal Page Range
- p. 127-139.
- Report number
- DOE/ER/60155--1
Conference
- Title
- SIMS conference on atomic bomb survivor data - utilization and analysis.
- Dates
- 12-16 Sep 1983.
- Place
- Alta, UT (USA).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 15072280
- Subject category
- S63: RADIATION, THERMAL, AND OTHER ENVIRONMENTAL POLLUTANT EFFECTS ON LIVING ORGANISMS AND BIOLOGICAL MATERIALS;
- Resource subtype / Literary indicator
- Conference, Numerical Data
- Descriptors DEI
- A-BOMB SURVIVORS; CHROMOSOMAL ABERRATIONS; DOSE-RESPONSE RELATIONSHIPS; RADIATION EFFECTS; STATISTICAL DATA; STATISTICAL MODELS
- Descriptors DEC
- DATA; INFORMATION; MATHEMATICAL MODELS; MUTATIONS; NUMERICAL DATA