Published 1984 | Version v1
Report

Regression methods for count data with extra-binomial variation

  • 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