Review: propensity score methods with application to the HELP clinic clinical study

Shesh N Rai1 Biostatistics Shared Facility, James Graham Brown Cancer Center, University of Louisville, Louisville, KY, USA;2 Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USACorrespondence[email protected]

Xiaoyong Wu1 Biostatistics Shared Facility, James Graham Brown Cancer Center, University of Louisville, Louisville, KY, USA

Deo K Srivastava3 Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, USA

John A Craycroft2 Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA

Jayesh P Rai4 Division of Cardiology, University of Louisville, Louisville, KY, USA

Sanjay Srivastava4 Division of Cardiology, University of Louisville, Louisville, KY, USA

Robert F James5 Department of Neurosurgery, University of Louisville, Louisville, KY, USA

Maxwell Boakye5 Department of Neurosurgery, University of Louisville, Louisville, KY, USA

Aruni Bhatnagar4 Division of Cardiology, University of Louisville, Louisville, KY, USA

Richard Baumgartner6 Department of Epidemiology and Population Health, University of Louisville, KY, USA

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Review: propensity score methods with application to the HELP clinic clinical study

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Review: propensity score methods with application to the HELP clinic clinical study

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