Buchnev O. S. (Candidate of technical sciences. Irkutsk National Research Technical University)
Atalyan A. V. (Candidate of biological sciences, head of information systems and biostatistics department. Scientific Center for Family Health and Human Reproduction (Irkutsk).)
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modeling of the impact of a confounding variable was carried out when the exposure is binary, and the confounding variable and the response variable are continuous. Experiments were carried out with the model. Linear regression models were used to examine the change in the value of the regression coefficient and the standard error of the regression coefficient before and after including the confounding variable in the regression model.
Keywords:confounding, regression models, modelling, observational data analysis.
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Citation link:
Buchnev O. S., Atalyan A. V. MODELING AND INVESTIGATION OF A CONFUSING VARIABLE USING LINEAR REGRESSION MODELS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№12. -С. 51-55 DOI 10.37882/2223-2966.2023.12.06 |
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