Results 91 to 100 of about 24,713,244 (334)

weIMPUTE: a user-friendly web-based genotype imputation platform

Frontiers in Genetics
BackgroundGenotype imputation is a critical preprocessing step in genome-wide association studies (GWAS), enhancing statistical power for detecting associated single nucleotide polymorphisms (SNPs) by increasing marker size.ResultsIn response to the ...
Mingliang Li, Mingliang Li, Zhuo Li, Zhuo Li, Zhuo Li, Defu Liu, Qi Li, Xiaodong Hu, Jun Yu, Jian Lin, Chunguang Bi, Guanshi Ye, Helong Yu, You Tang, You Tang, You Tang   +15 more
doaj   +1 more source

Calibrated imputation of numerical data under linear edit restrictions [PDF]

, 2008
A common problem faced by statistical offices is that data may be missing from collected data sets. The typical way to overcome this problem is to impute the missing data.
De Waal, Ton, Pannekoek, Jeroen, Shlomo, Natalie   +2 more
core  

Discrete models for data imputation

Discrete Applied Mathematics, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Feature Based Multivariate Data Imputation [PDF]

, 2019
We investigate a new multivariate data imputation approach for dealing with variety of types of missingness. The proposed approach relies on the aggregation of the most suitable methods from a multitude of imputation techniques, adjusted to each feature of the dataset.
Alessio Petrozziello, Ivan Jordanov
openaire   +2 more sources

Onasemnogene Abeparvovec in Type I Spinal Muscular Atrophy: 24‐Month Follow‐Up From the Italian Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane, Giorgia Coratti, Chiara Cutrì, Antonio Varone, Riccardo Masson, Adele D'Amico, Valeria Sansone, Sonia Messina, Federica Ricci, Chiara Ticci, Claudio Bruno, Caterina Agosto, Francesca Benedetti, Antonella Pini, Sabrina Siliquini, Massimiliano Filosto, Alberto Zambon, Ilaria Bitetti, Maria Rosaria Manna, Claudia Dosi, Riccardo Zanin, Stefano Parravicini, Roberto De Sanctis, Giulia Stanca, Michela Catteruccia, Michele Tosi, Irene Mizzoni, Emilio Albamonte, Valentina Franchino, Maria Sframeli, Ilaria Cavallina, Elena Procopio, Michele Sacchini, Simone Morando, Noemi Brolatti, Federica Trucco, Gaia Scarpini, Elena Briganti, Beatrice Berti, Concetta Palermo, Daniela Leone, Stefano C. Previtali, Eugenio Mercuri, the ITASMAC working group   +43 more
wiley   +1 more source

An efficient multiple imputation algorithm for control-based and delta-adjusted pattern mixture models using SAS

, 2016
In clinical trials, mixed effects models for repeated measures (MMRM) and pattern mixture models (PMM) are often used to analyze longitudinal continuous outcomes.
Tang, Yongqiang
core   +2 more sources

Column-wise Guided Data Imputation [PDF]

Procedia Computer Science, 2017
Abstract This paper investigates data imputation techniques for pre-processing of dataset with missing values. The current literature is mainly focused on the overall accuracy, evaluated estimating the missing values on the dataset at hand, however the predictions can be suboptimal when considering the model performance for each feature.
Alessio Petrozziello, Ivan Jordanov
openaire   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source

Optimizing genotype imputation pipeline for low-coverage whole genome sequencing data in spotted sea bass and its application in genomic prediction

Aquaculture Reports
Genotype imputation following low-coverage whole genome sequencing (lcWGS) data offers a cost-effective approach for genotyping large populations, with significant potential to accelerate genomic selection in breeding programs.
Chong Zhang, Yonghang Zhang, Pengyu Li, Cong Liu, Lingyu Wang, Yani Dong, Donglei Sun, Xin Qi, Haishen Wen, Kaiqiang Zhang, Shaosen Yang, Yun Li   +11 more
doaj   +1 more source

Multiple imputation for handling missing outcome data when estimating the relative risk

BMC Medical Research Methodology, 2017
Background Multiple imputation is a popular approach to handling missing data in medical research, yet little is known about its applicability for estimating the relative risk.
Thomas R. Sullivan, Katherine J. Lee, Philip Ryan, Amy B. Salter   +3 more
doaj   +1 more source