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Publication Type : Journal Article
Thematic Areas : Medical Sciences
Publisher : Transplantation,
Source : Transplantation, vol. 70, no. 10, 2000.
Campus : Kochi
School : School of Medicine
Department : Gastrointestinal Surgery
Year : 2000
Abstract : A Confounder is a variable whose presence affects the variables being studied so that the results do not reflect the actual relationship. There are various ways to exclude or control confounding variables including Randomization, Restriction and Matching. But all these methods are applicable at the time of study design. When experimental designs are premature, impractical, or impossible, researchers must rely on statistical methods to adjust for potentially confounding effects. These Statistical models (especially regression models) are flexible to eliminate the effects of confounders.
Cite this Research Publication : Dr. Sudhindran S., Emms, N., Sinha, S., and Kumar, A., “Too many confounding variables”, Transplantation, vol. 70, no. 10, 2000.