Background Rheumatology researchers often categorize continuous predictor variables. We
aimed to show how this practice may alter results from observational studies in …

Objective To illustrate newly developed statistical methods in analysis of correlated binary
outcome data in musculoskeletal (MSK) disease. Methods We applied 3 alternative …

Introduction Validity of biomarkers may be affected if studies do not include certain features
in their design. We evaluated whether translational research studies of potential biomarkers …

Objective There is no curative treatment for osteoarthritis (OA), which is the most common
form of arthritis. This study was undertaken to identify causal risk factors of knee, hip, and …

Objective To define the association between change in body mass index (BMI) and the risk
of knee and hip replacement. Methods We used data from 3 independent cohort studies: the …

Objective To determine the optimal combination of imaging and biochemical biomarkers for
use in the prediction of knee osteoarthritis (OA) progression. Methods The present study was …

Rheumatology research often involves correlated and clustered data. A common error when
analyzing these data occurs when instead we treat these data as independent observations …

Objective To study the relative contribution of surrogates for mechanical stress and systemic
processes with osteoarthritis (OA) in weight-bearing and non-weight-bearing joints. Methods …

The identification of modifiable risk factors for the development of rheumatic conditions and
their sequelae is crucial for reducing the substantial worldwide burden of these diseases …

Objective Although the association between obesity and risk of rheumatic disease is well
established, the precise causal relation has not been conclusively proven. Here, we …