| Main Title |
Analysis of Case-Control Data with Covariate Measurement Error: Application to Diet and Colon Cancer. |
| Author |
Armstrong, B. G. ;
Whittemore, A. S. ;
Howe., G. R. ;
|
| CORP Author |
McGill Univ., Montreal (Quebec). ;Stanford Univ., CA. School of Medicine. ;Toronto Univ. (Ontario).;Health Effects Research Lab., Research Triangle Park, NC. |
| Publisher |
c1989 |
| Year Published |
1989 |
| Report Number |
EPA-R-813495-01; EPA/600/J-89/391; |
| Stock Number |
PB90-246034 |
| Additional Subjects |
Human nutrition ;
Statistical analysis ;
Diets ;
Regression analysis ;
Mathematical models ;
Measurement ;
Errors ;
Reprints ;
Colonic neoplasms ;
Case studies
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| NTIS |
PB90-246034 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| Collation |
16p |
| Abstract |
The authors propose a method for estimating odds ratios from case-control data in which covariates are subject to measurement error. The measurement error may contain both a random component and a systematic difference between cases and controls (recall bias). A multivariate normal discriminant analysis model is assumed. If the distribution of measurement error is known, then a simple correction to naive (biased) estimates of odds ratios from logistic regression of disease on fallible measurements of covariates removes bias. The same correction yields confidence intervals and significance tests. They apply the proposed methods to data from case-control study of colon cancer and diet. (Copyright (c) 1989 by John Wiley & Sons, Ltd.) |
