Main Title |
Confounding and selection bias in case control studies / |
Author |
Little, Roderick J. A. ;
Rosenbaum, Paul R.
|
Other Authors |
|
CORP Author |
Office of Radiation Programs, Washington, DC. |
Publisher |
Division of Statistics and Applied Mathematics, Office of Radiation Programs, U.S. Environmental Protection Agency, |
Year Published |
1981 |
Report Number |
EPA 520/8-81-004 |
Stock Number |
PB81-194110 |
OCLC Number |
08225428 |
Subjects |
Biometry--Mathematical models
|
Additional Subjects |
Biometrics ;
Epidemiology ;
Research ;
Design ;
Methodology ;
Populations ;
Statistical analysis
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
ELBD ARCHIVE |
EPA 520-8-81-004 |
Received from HQ |
AWBERC Library/Cincinnati,OH |
10/04/2023 |
NTIS |
PB81-194110 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
v, 20 pages ; 28 cm |
Abstract |
In case-control studies, the role of adjustments for bias, and in particular the role of matching, has been extensively debated. However, the absence of a formal statement of the problem has led to disagreements, confusion, and occasionally to erroneous conclusions. This paper formulates precisely and answers the following questions. (1) When is it necessary to adjust for a variable Z. (2) Given that the data analysis will adjust for the variable Z, is matching on Z the most efficient method of selecting controls. In answering these questions, the authors draw a sharp distinction between bias caused by confounding in the population and bias caused by the method used to select the sample. |
Notes |
"January 1981." Includes bibliographical references. "EPA 520/8-81-004." |