Results 111 to 120 of about 248,303 (301)
There are ten leukocyte immunoglobulin (Ig)-like receptor (LILR) genes, i.e., five genes encoding activating receptors (LILRA1, LILRA2, LILRA4, LILRA5, and LILRA6) characterized by their truncated cytoplasmic tails, and five genes encoding inhibitory ...
Seik-Soon Khor +9 more
doaj +1 more source
TREB: a BERT attempt for imputing tabular data imputation
12 pages, 7 ...
Shuyue Wang +4 more
openaire +3 more sources
Taking "Don't Knows" as Valid Responses: A Complete Random Imputation of Missing Data [PDF]
Incomplete data is a common problem of survey research. Recent work on multiple imputation techniques has increased analysts' awareness of the biasing effects of missing data and has also provided a convenient solution.
Martin Kroh
core
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 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 ...
Neri, Laura, Calzolari, Giorgio
core
Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus
Objective Individuals with systemic lupus erythematosus (SLE) can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), and FS in a national SLE sample.
Baljeet Rai +7 more
wiley +1 more source
Xputer: bridging data gaps with NMF, XGBoost, and a streamlined GUI experience
The rapid proliferation of data across diverse fields has accentuated the importance of accurate imputation for missing values. This task is crucial for ensuring data integrity and deriving meaningful insights.
Saleena Younus +9 more
doaj +1 more source
Multiple imputation for unit-nonresponse versus weighting including a comparison with a nonresponse follow-up study [PDF]
The results of a national fear of crime survey are compared with results following the use of different nonresponse correction procedures. We compared naive estimates, weighted estimates, estimates after a thorough nonresponse follow-up and estimates ...
Rässler, Susanne, Schnell, Rainer
core
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients who were newly diagnosed with PsA between 2013 and 2023.
Batoul Hojeij +11 more
wiley +1 more source
An Integrated Machine Learning Approach for Congestive Heart Failure Prediction
Congestive heart failure (CHF) is one of the primary sources of mortality and morbidity among the global population. Over 26 million individuals globally are affected by heart disease, and its prevalence is rising by 2% yearly.
M. Sheetal Singh +3 more
doaj +1 more source

