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Propensity scores in the presence of effect modification: A case study using the comparison of mortality on hemodialysis versus peritoneal dialysis
Authors:Ylian S Liem   John B Wong   MG Myriam Hunink   Frank Th de Charro  Wolfgang C Winkelmayer
Affiliation:(1) Program for the Assessment of Radiological Technology (ART Program), Department of Epidemiology & Biostatistics and the Department of Radiology, Erasmus University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015, GE Rotterdam, the Netherlands;(2) Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015, GE Rotterdam, the Netherlands;(3) Division of Clinical Decision Making, Informatics and Telemedicine, Department of Medicine, Tufts Medical Center, Tufts University School of Medicine, 800 Washington Street, #302, Boston, MA 02111, USA;(4) Department of Health Policy and Management, Harvard School of Public Health, Kresge 4th Floor, 677 Huntington Avenue, Boston, Massachusetts 02115, USA;(5) Dutch End Stage Renal Disease Registry RENINE, Postbus 2304, 2301 CH Leiden, The Netherlands;(6) Division of Nephrology, Department of Medicine, Stanford University School of Medicine, 780 Welch Road, Suite 106, Palo Alto, CA 94304, USA
Abstract:

Purpose  

To control for confounding bias from non-random treatment assignment in observational data, both traditional multivariable models and more recently propensity score approaches have been applied. Our aim was to compare a propensity score-stratified model with a traditional multivariable-adjusted model, specifically in estimating survival of hemodialysis (HD) versus peritoneal dialysis (PD) patients.
Keywords:
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