<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">AJEGANOVA, SOFIA</style></author><author><style face="normal" font="default" size="100%">HAFSTRÖM, INGIÄLD</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Dr. Ajeganova and Dr. Hafström reply</style></title><secondary-title><style face="normal" font="default" size="100%">The Journal of Rheumatology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013-03-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">337-337</style></pages><doi><style  face="normal" font="default" size="100%">10.3899/jrheum.121445</style></doi><volume><style face="normal" font="default" size="100%">40</style></volume><issue><style face="normal" font="default" size="100%">3</style></issue><abstract><style  face="normal" font="default" size="100%">To the Editor:We thank Dr. Kawada for the comments1 about our study2. We agree that multivariate analysis is indispensable in predictive models of risk factors, and also support the discussion of the applied statistical approach. However, we would clarify that our analyses were developed first to take into account known and measurable confounders such as age, sex, ever-smoking, hypertension, diabetes mellitus, and body weight. As only age, … Address correspondence to Dr. Ajeganova; E-mail: sofia.ajeganova{at}karolinska.se</style></abstract></record></records></xml>