A method to quantify confounding in regression analyses applied to data on diet and CHD incidence
- 1 January 1988
- journal article
- research article
- Published by Elsevier in Journal of Clinical Epidemiology
- Vol. 41 (4) , 331-337
- https://doi.org/10.1016/0895-4356(88)90140-0
Abstract
No abstract availableKeywords
This publication has 5 references indexed in Scilit:
- Linear regression analysis of binary response data with mixed covariates — a simulation studyControlled Clinical Trials, 1984
- The results of logistic analyses when the variables are highly correlated: An empirical example using diet and CHD incidenceJournal of Chronic Diseases, 1984
- The Efficiency of Logistic Regression Compared to Normal Discriminant AnalysisJournal of the American Statistical Association, 1975
- Some Comments on C PTechnometrics, 1973
- Estimation of the multivariate logistic risk function: A comparison of the discriminant function and maximum likelihood approachesJournal of Chronic Diseases, 1971