Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality
Top Cited Papers
- 1 November 2004
- journal article
- research article
- Published by Elsevier in Journal of Clinical Epidemiology
- Vol. 57 (11) , 1138-1146
- https://doi.org/10.1016/j.jclinepi.2004.04.003
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Methods of variable selection in regression modelingCommunications in Statistics - Simulation and Computation, 1998
- Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variablesBritish Journal of Mathematical and Statistical Psychology, 1992
- Applied Logistic RegressionTechnometrics, 1992
- Estimating the Residual Variance in Orthogonal Regression with Variable SelectionJournal of the Royal Statistical Society: Series D (The Statistician), 1991
- Data SplittingThe American Statistician, 1990
- Short-term risk stratification at admission based on simple clinical data in acute myocardial infarctionThe American Journal of Cardiology, 1988
- Frequency of Selecting Noise Variables in Subset Regression Analysis: A Simulation StudyThe American Statistician, 1987
- Risk Stratification and Survival after Myocardial InfarctionNew England Journal of Medicine, 1983
- Building Multiple Regression Models InteractivelyPublished by JSTOR ,1981
- A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear RegressionPublished by JSTOR ,1976