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Too many confounding variables

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.

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