Propensity Score Methods for Bias Reduction in Observational Studies of Treatment Effect - 04/04/18

Doi : 10.1016/j.rdc.2018.01.002

Sindhu R. Johnson, MD, PhD ^a,^b,^⁎ , George A. Tomlinson, PhD ^b,^c,^d, Gillian A. Hawker, MD, MSc ^b,^e, John T. Granton, MD ^f,^g, Brian M. Feldman, MD, MSc ^b,^c,^h
^a Division of Rheumatology, Department of Medicine, Toronto Western Hospital, Mount Sinai Hospital, Ground Floor, East Wing, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada
^b Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M6, Canada
^c Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada
^d Department of Medicine, Division of Support, Systems, and Outcomes, Toronto General Research Institute, Toronto General Hospital, Eaton North, 10th Floor, Room 235, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
^e Division of Rheumatology, Department of Medicine, Women’s College Hospital, 76 Grenville Street, 8th Floor East, Room 815, Toronto, Ontario M5S 1B2, Canada
^f Division of Respirology, Department of Medicine, Toronto General Hospital, University Health Network, MUNK Building, 11-1170, 200 Elizabeth Avenue, Toronto, Ontario M5G 2C4, Canada
^g Division of Critical Care Medicine, Department of Medicine, Toronto General Hospital, University Health Network, MUNK Building, 11-1170, 200 Elizabeth Avenue, Toronto, Ontario M5G 2C4, Canada
^h Division of Rheumatology, Department of Paediatrics, The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada

^∗Corresponding author. Division of Rheumatology, Toronto Western Hospital, Ground Floor, East Wing, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada.Division of RheumatologyToronto Western HospitalGround FloorEast Wing399 Bathurst StreetTorontoOntarioM5T 2S8Canada

Résumé

A challenge to the use of observational data to study treatment effects is the issue of confounding. Noncomparability of exposed and nonexposed subjects can lead to biased estimation of the treatment effect. The propensity score is a balancing score that can be used to form matched groups, or pairs, that are not systematically different and enable nonbiased comparisons between groups. This article reviews propensity score methods with an illustrative example of the application of propensity score matching in an observational study of an uncommon disease (systemic sclerosis).

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Keywords : Propensity score, Bias, Observational data, Scleroderma, Systemic sclerosis

Plan

Challenge for Clinical Researchers

Propensity Score Methods

Four Propensity Score Approaches

Assessing Balance

Threat of Unmeasured Confounding

Propensity Score Use in Observational Data of an Uncommon Disease: An Example

Summary

	Disclosure Statement: None of the authors have any commercial or financial conflicts of interest to disclose.
	Dr S. Johnson has been awarded a Canadian Institutes of Health Research New Investigator Award. Dr G. Hawker is supported as the Sir John and Lady Eaton Chair of Medicine. Dr B. Feldman holds the Ho Family Chair in Autoimmune Disease Research.

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Vol 44 - N° 2

P. 203-213 - mai 2018 Retour au numéro

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Propensity Score Methods for Bias Reduction in Observational Studies of Treatment Effect - 04/04/18

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