Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

doi:10.4172/2161-1165.1000227

. 2016 Apr;6(2):227.

doi: 10.4172/2161-1165.1000227. Epub 2016 Mar 7.

Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

Kristina P Vatcheva¹, MinJae Lee², Joseph B McCormick¹, Mohammad H Rahbar³

Affiliations

¹ Division of Epidemiology, University of Texas Health Science Center-Houston, School of Public Health, Brownsville Campus, Brownsville, TX.
² Division of Clinical and Translational Sciences, Department of Internal Medicine, University of Texas Medical School, Biostatistics/Epidemiology/Research Design (BERD) Core, Center for Clinical and Translational Sciences (CCTS), The University of Texas Health Science Center at Houston, Houston, TX.
³ Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Division of Clinical and Translational Sciences, Department of Internal Medicine, University of Texas Medical School at Houston, and Center for Clinical and Translational Sciences at The University of Texas Health Science Center at Houston, Houston, TX.

PMID: 27274911
PMCID: PMC4888898
DOI: 10.4172/2161-1165.1000227

Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

Kristina P Vatcheva et al. Epidemiology (Sunnyvale). 2016 Apr.

. 2016 Apr;6(2):227.

doi: 10.4172/2161-1165.1000227. Epub 2016 Mar 7.

Authors

Kristina P Vatcheva¹, MinJae Lee², Joseph B McCormick¹, Mohammad H Rahbar³

Affiliations

¹ Division of Epidemiology, University of Texas Health Science Center-Houston, School of Public Health, Brownsville Campus, Brownsville, TX.
² Division of Clinical and Translational Sciences, Department of Internal Medicine, University of Texas Medical School, Biostatistics/Epidemiology/Research Design (BERD) Core, Center for Clinical and Translational Sciences (CCTS), The University of Texas Health Science Center at Houston, Houston, TX.
³ Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Division of Clinical and Translational Sciences, Department of Internal Medicine, University of Texas Medical School at Houston, and Center for Clinical and Translational Sciences at The University of Texas Health Science Center at Houston, Houston, TX.

PMID: 27274911
PMCID: PMC4888898
DOI: 10.4172/2161-1165.1000227

Abstract

The adverse impact of ignoring multicollinearity on findings and data interpretation in regression analysis is very well documented in the statistical literature. The failure to identify and report multicollinearity could result in misleading interpretations of the results. A review of epidemiological literature in PubMed from January 2004 to December 2013, illustrated the need for a greater attention to identifying and minimizing the effect of multicollinearity in analysis of data from epidemiologic studies. We used simulated datasets and real life data from the Cameron County Hispanic Cohort to demonstrate the adverse effects of multicollinearity in the regression analysis and encourage researchers to consider the diagnostic for multicollinearity as one of the steps in regression analysis.

Keywords: BMI; Multicollinearity; Regression analysis; Simulation; Waist circumference.

PubMed Disclaimer

Cited by

Postural Body Sway as Surrogate Outcome for Myelopathy in Adrenoleukodystrophy.
van Ballegoij WJC, van de Stadt SIW, Huffnagel IC, Kemp S, van der Knaap MS, Engelen M. van Ballegoij WJC, et al. Front Physiol. 2020 Jul 17;11:786. doi: 10.3389/fphys.2020.00786. eCollection 2020. Front Physiol. 2020. PMID: 32765293 Free PMC article.
Potentially inappropriate prescribing in polymedicated older adults with atrial fibrillation and multimorbidity: a Swedish national register-based cohort study.
Amrouch C, Vetrano DL, Damiano C, Dai L, Calderón-Larrañaga A, Grymonprez M, Proietti M, Lip GYH, Johnsen SP, Wastesson JW, Johnell K, De Smedt D, Petrovic M. Amrouch C, et al. Front Pharmacol. 2024 Sep 10;15:1476464. doi: 10.3389/fphar.2024.1476464. eCollection 2024. Front Pharmacol. 2024. PMID: 39318774 Free PMC article.
Incidence of dog bite injuries and its associated factors in Punjab province of Pakistan.
Alfahad M, Butt F, Aslam MA, Abbas T, Qazi AA, Qudratullah. Alfahad M, et al. Sci One Health. 2023 Jan 7;1:100007. doi: 10.1016/j.soh.2023.100007. eCollection 2022 Nov. Sci One Health. 2023. PMID: 39076602 Free PMC article.
Contraceptive counseling experiences among women attending HIV care and treatment centers: A national survey in Kenya.
Dev R, Kohler P, Begnel E, Achwoka D, McGrath CJ, Pintye J, Muthigani W, Singa B, Gondi J, Ng'ang'a L, Langat A, John-Stewart G, Kinuthia J, Drake AL. Dev R, et al. Contraception. 2021 Aug;104(2):139-146. doi: 10.1016/j.contraception.2021.04.011. Epub 2021 Apr 22. Contraception. 2021. PMID: 33894251 Free PMC article.
The association between self-monitoring of blood glucose and HbA1c in type 2 diabetes.
Yuan Y, Zhou X, Jia W, Zhou J, Zhang F, Du J, Ji L. Yuan Y, et al. Front Endocrinol (Lausanne). 2023 Feb 7;14:1056828. doi: 10.3389/fendo.2023.1056828. eCollection 2023. Front Endocrinol (Lausanne). 2023. PMID: 36824358 Free PMC article. Clinical Trial.

See all "Cited by" articles

References

1. Aiken LS, West SG. Multiple regression: Testing and interpreting interactions. Newbury Park C: SAGE Publications, Inc; 1991. editor.
1. Gordon RA. Issues in Multiple Regression. The American Journal of Sociology. 1968;73:592–616.
1. Stewart GW. Collinearity and Least Squares Regression. Statistical Science. 1987;2:68–100.
1. Mason G. Coping with multicollinearity. The Canadian Journal of program evaluation. 1987;2:87–93.
1. Mason Charlotte H, Perreault William D., Jr Collinearity, Power, and Interpretation of Multiple Regression Analysis. Journal of Marketing Research. 1991;28:268–280.

Grants and funding

UL1 TR000371/TR/NCATS NIH HHS/United States

LinkOut - more resources

Full Text Sources
- Europe PubMed Central
- PubMed Central
Other Literature Sources
- scite Smart Citations

[1] Aiken LS, West SG. Multiple regression: Testing and interpreting interactions. Newbury Park C: SAGE Publications, Inc; 1991. editor.

[2] Aiken LS, West SG. Multiple regression: Testing and interpreting interactions. Newbury Park C: SAGE Publications, Inc; 1991. editor.

[3] Gordon RA. Issues in Multiple Regression. The American Journal of Sociology. 1968;73:592–616.

[4] Gordon RA. Issues in Multiple Regression. The American Journal of Sociology. 1968;73:592–616.

[5] Stewart GW. Collinearity and Least Squares Regression. Statistical Science. 1987;2:68–100.

[6] Stewart GW. Collinearity and Least Squares Regression. Statistical Science. 1987;2:68–100.

[7] Mason G. Coping with multicollinearity. The Canadian Journal of program evaluation. 1987;2:87–93.

[8] Mason G. Coping with multicollinearity. The Canadian Journal of program evaluation. 1987;2:87–93.

[9] Mason Charlotte H, Perreault William D., Jr Collinearity, Power, and Interpretation of Multiple Regression Analysis. Journal of Marketing Research. 1991;28:268–280.

[10] Mason Charlotte H, Perreault William D., Jr Collinearity, Power, and Interpretation of Multiple Regression Analysis. Journal of Marketing Research. 1991;28:268–280.

Save citation to file

Email citation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

Affiliations

Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

Authors

Affiliations

Abstract

Similar articles

Cited by

References

Grants and funding

LinkOut - more resources

Full Text Sources

Other Literature Sources