Results 111 to 120 of about 287,343 (334)
Outcome-sensitive multiple imputation: a simulation study
Background Multiple imputation is frequently used to deal with missing data in healthcare research. Although it is known that the outcome should be included in the imputation model when imputing missing covariate values, it is not known whether it should
Evangelos Kontopantelis +3 more
doaj +1 more source
Three-dimensional imputation of missing monthly river flow data [PDF]
Fatih Dikbaş
openalex +1 more source
Objective Mycophenolate Mofetil (MMF) use in limited cutaneous systemic sclerosis (lcSSc) is relatively uncommon due to the lower fibrotic burden and the predominance of the vascular complications. In vitro observations and clinical data from transplanted patients suggest a protective effect of MMF on endothelial function.
Enrico De Lorenzis +77 more
wiley +1 more source
Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Objective Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined the following: (1) associations between economic insecurities and PROs, and (2) the impact of screening and addressing economic ...
Jay Patel +8 more
wiley +1 more source
Imputation of continuous variables missing at random using the method of simulated scores [PDF]
For multivariate datasets with missing values, we present a procedure of statistical inference and state its "optimal" properties. Two main assumptions are needed: (1) data are missing at random (MAR); (2) the data generating process is a multivariate ...
Calzolari, Giorgio, Neri, Laura
core +1 more source
Multiple Imputation for Handling Missing Data of Covariates in Meta-Regression
Diaz Yanez
openalex +1 more source
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie +3 more
wiley +1 more source
Objective This study aimed to investigate potential moderators influencing the effects of manual therapy and exercise therapy on pain and functional outcomes in individuals with knee and/or hip osteoarthritis, using data from the MOA trial. Design This is a secondary analysis of data from the MOA trial that compared the clinical effectiveness of manual
Daniel Cury Ribeiro +2 more
wiley +1 more source
Multiple Imputation of Multilevel Missing Data
The treatment of missing data can be difficult in multilevel research because state-of-the-art procedures such as multiple imputation (MI) may require advanced statistical knowledge or a high degree of familiarity with certain statistical software.
Simon Grund +2 more
doaj +1 more source

