Abstracts tagged "missing data and multiple imputation"

Abstract Number: 2410 • 2019 ACR/ARP Annual Meeting
Using External Data to Estimate Omitted Variables in Observational Data: A Plasmode Simulation Study Investigating the Relationship Between Osteoarthritis and Cardiovascular Diseases to Compare Alternative Approaches in Imputing the Body Mass Index Variable
Mohammad Atiquzzaman¹, Mohammad Karim ², Jacek Kopec ³, Hubert Wong ⁴, Mary De Vera ⁵ and Aslam Anis ², ¹Faculty of Pharmaceutical Sciences, University of British Columbia, Surrey, BC, Canada, ²School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada, ³Arthritis Research Canada and the University of British Columbia, Vancouver, BC, Canada, ⁴University of British Columbia, Vancouver, BC, Canada, ⁵Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
Background/Purpose: BMI is a well-known confounding factor in the association between osteoarthritis (OA) and cardiovascular diseases (CVD). However, BMI is not usually recorded in administrative…
Abstract Number: 2465 • 2017 ACR/ARHP Annual Meeting
Association between Methotrexate Use and Effects of Treatment with a Second Biologic Agent in Rheumatoid Arthritis: A Multiple Imputation Approach
Yoshikazu Ogawa¹, Nobunori Takahashi², Naoki Ishiguro² and Toshihisa Kojima², ¹Sakashita Hospital, Nakatsugawa, Japan, ²Orthopaedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
Background/Purpose: Methotrexate (MTX) is recommended and widely prescribed as the first-line, evidence-based therapy for rheumatoid arthritis (RA) patients. Previous studies have demonstrated a significant effect…

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