Results 101 to 110 of about 202,193 (268)

Data Integration: Techniques and Evaluation

Austrian Journal of Statistics, 2016
Within the DIECOFIS framework, ec3, the Division of Business Statistics from the Vienna University of Economics and Business Administration and ISTAT worked together to find methods to create a comprehensive database of enterprise data required for ...
Michaela Denk, Peter Hackl
doaj   +1 more source

Financial Distress and Its Determinants in Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent prolonged use of expensive disease‐modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or noninflammatory musculoskeletal disease (NIMSKD) completing the ...
Amber Brown Keebler, Yunju Im, Sofia Pedro, Ted R. Mikuls, Edward S. Peters, Kaleb Michaud   +5 more
wiley   +1 more source

Testing a Personalized Approach to Chronic Low Back Pain: A Randomized Controlled Trial in Older Veterans

Arthritis Care &Research, EarlyView.
Objective We aimed to test the efficacy of personalized treatment of older veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABCs) as compared with usual care (UC). Methods Two hundred ninety‐nine veterans aged 65 to 89 with CLBP from three Veterans Affairs (VA) medical centers underwent baseline testing, randomization to ABC ...
Debra K. Weiner, Angela Gentili, Meika A. Fang, Edward Garay, Laura Lawson, Lenore Joseph, Cathy C. Lee, Michelle I. Rossi, Beverly Thorn, Subashan Perera   +9 more
wiley   +1 more source

Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks

Revista Facultad de Ingeniería Universidad de Antioquia, 2015
This paper presents a procedure to address the lack of spatial air quality data in urban areas, based on the use of Geographic Information Systems (GIS) and spatial interpolation techniques as an alternative to conventional methods of statistical ...
Libardo Antonio Londoño-Ciro, Julio Eduardo Cañón-Barriga   +1 more
doaj   +1 more source

The Renal Activity Index for Lupus Identifies Active Renal Disease and Treatment Response in Adult Patients With Systemic Lupus Erythematosus and Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective We evaluated the ability of the Renal Activity Index for Lupus (RAIL) to discriminate active lupus nephritis (LN) in adult patients with active systemic lupus erythematosus (SLE) and differentiate LN treatment response. Methods Urine samples from adults with biopsy‐proven active class III and IV LN from TULIP‐LN (active LN group ...
Hermine I. Brunner, Ellen M. Cody, Prasad Devarajan, Bin Huang, Chen Chen, Dominic Sinibaldi, Madhu Ramaswamy, Jacob Knagenhjelm, Frederick Jones, Philip Z. Brohawn, Raj Tummala, Catharina Lindholm, Wendy I. White   +12 more
wiley   +1 more source

An empirical evaluation of imputation accuracy for association statistics reveals increased type-I error rates in genome-wide associations

BMC Genetics, 2011
Background Genome wide association studies (GWAS) are becoming the approach of choice to identify genetic determinants of complex phenotypes and common diseases.
Pereira Alexandre C, Krieger José E, Pereira Tiago V, Oliveira Paulo SL, Almeida Marcio AA   +4 more
doaj   +1 more source

Sarilumab in Polyarticular‐Course Juvenile Idiopathic Arthritis: Dose‐Finding and One‐Year Analysis of a Phase 2b, Open‐Label, Multicenter Study

Arthritis Care &Research, Accepted Article.
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, Inmaculada C. Penadés, Irina Nikishina, Ivan Foeldvari, Alberto J. Spindler, Anna Kozlova, Nadina Rubio‐Pérez, Pierre Quartier, Zbigniew Żuber, Raul Barria, Daniel Clemente, Gabriel V. Cornejo, Katherine Marzan, Nancy Liu, Christine Xu, Stephen DiMartino, Angeliki Giannelou, Fei Cao‐Ghoul, Bolanle Akinlade, Lydie Baret‐Cormel   +19 more
wiley   +1 more source

Robust representation of domain incomplete tabular data via cross-modal debiasing and prototype-fused reconstruction

Journal of King Saud University: Computer and Information Sciences
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, Xiangxian Li, Lin Zhao, Yajuan Shen, Hui Sun, Xiaoming Cong, Xianhui Cao, Yunfeng Bi, Juan Liu, Yulong Bian   +9 more
doaj   +1 more source

Statistical Inference for Chi-square Statistics or F-Statistics Based on Multiple Imputation

Missing data is a common issue in medical, psychiatry, and social studies. In literature, Multiple Imputation (MI) was proposed to multiply impute datasets and combine analysis results from imputed datasets for statistical inference using Rubin's rule. However, Rubin's rule only works for combined inference on statistical tests with point and variance ...
Wang, Binhuan, Fang, Yixin, Jin, Man
openaire   +2 more sources

Machine Learning with Statistical Imputation for Predicting Drug Approval

Harvard Data Science Review, 2019
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, Kien Wei Siah, Chi Heem Wong   +2 more
openaire   +2 more sources