Simulation study of confounder-selection strategies.
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Summary
The authors compared the performance of several such strategies for fitting multiplicative Poisson regression models to cohort data, finding that the change-in-estimate and equivalence-test-of-the-difference strategies performed best when the cut-point for deciding whether crude and adjusted estimates differed by an important amount was set to a low value.
- Type
- article
- Published
- 1993-12-01
- Cited by
- 2,396
- References
- 30
- OpenAlex
- https://openalex.org/W2167858830
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4498799
Keywords
Statistics, Mathematics, Covariate, Population, Confidence interval
References
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- Methods for epidemiologic analyses of multiple exposures: a review and comparative study of maximum-likelihood, preliminary-testing, and empirical-Bayes regression.
- Modeling and variable selection in epidemiologic analysis.
- Research Methods in Occupational Epidemiology
- On pooling across strata when frequency matching has been followed in a cohort study.
- A proposal for interpreting and reporting negative studies.
- Significance tests have a role in epidemiologic research: reactions to A. M. Walker.
- Estimation of a common effect parameter from sparse follow-up data.
- A Comparison of the Performance of Model‐Based Confidence Intervals When the Correct Model Form Is Unknown: Coverage of Asymptotic Means
- An improper use of statistical significance testing in studying covariables.
- The analysis of cross-classified categorical data
- Control of confounding in the assessment of medical technology.
- Stratification by a multivariate confounder score.
- Numerical Recipes: The Art of Scientific Computing
- Reducing mean squared error in the analysis of pair-matched case-control studies.
- Modern Statistical Methods in Chronic Disease Epidemiology.
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