Results 111 to 120 of about 1,318,109 (301)
Real-world structured tabular data, such as domain-specific knowledge and entity attributes, often encounter missing values due to issues in collection and transmission.
Xiangyu Meng +9 more
doaj +1 more source
Machine Learning with Statistical Imputation for Predicting Drug Approval
We apply machine-learning techniques to predict drug approvals using drug-development and clinical-trial data from 2003 to 2015 involving several thousand drug-indication pairs with over 140 features across 15 disease groups. To deal with missing data, we use imputation methods that allow us to fully exploit the entire dataset, the largest of its kind.
Andrew W. Lo +2 more
openaire +2 more sources
Objective We aimed to test the efficacy of personalized treatment of older Veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABC) as compared with usual care (UC). Methods Two hundred ninety‐nine Veterans age 65‐89 with CLBP from 3 VA medical centers underwent baseline testing, randomization to ABC or UC and 12 months follow ...
Debra K. Weiner +9 more
wiley +1 more source
Credible set is sensitive to imputation quality and missing variants
Bayesian fine-mapping to obtain credible sets has been widely applied post GWAS to pinpoint causal variants. The calculation of credible sets generally assumes that all variants have been equally well genotyped, which is often not the case when a GWAS ...
Yanyu Liang, A. Auton, Xin Wang
semanticscholar +1 more source
Objective Axial spondyloarthritis (axSpA) is often associated with persistent pain despite effective anti‐inflammatory treatment. Digital health applications (DHAs) provide innovative approaches to address multidimensional aspects of persistent pain through psychological and behavioral strategies. The aim of this study was to assess the impact of a DHA
David Kiefer +7 more
wiley +1 more source
RAISS: robust and accurate imputation from summary statistics [PDF]
Hanna Julienne +3 more
openalex +1 more source
Implementing Rubin's Alternative Multiple-imputation Method for Statistical Matching in Stata [PDF]
This article introduces two new commands, smpc and smmatch, that implement the statistical matching procedure proposed by Rubin (1986, Journal of Business and Economic Statistics 4: 87-94). The purpose of statistical matching in Rubin's procedure is to generate a single dataset from various datasets, where each dataset contains a specific variable of ...
openaire +2 more sources
Objective This study assessed sarilumab in treating patients with polyarticular‐course juvenile idiopathic arthritis (pcJIA). Methods This phase 2b, open‐label study (NCT02776735) consisted of three sequential parts (each with a core‐treatment and extension‐phase). During part 1, three doses were assessed in two weight groups (Group A/B: ≥30–60 kg/≥10–<
Fabrizio De Benedetti +19 more
wiley +1 more source
Integrative missing value estimation for microarray data
Background Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performance is unsatisfactory for datasets with high rates of missing data, high ...
Zhou Xianghong +3 more
doaj +1 more source

