Results 41 to 50 of about 160,067 (256)

The ability of different imputation methods for missing values in mental measurement questionnaires

open access: yesBMC Medical Research Methodology, 2020
Background Incomplete data are of particular important influence in mental measurement questionnaires. Most experts, however, mostly focus on clinical trials and cohort studies and generally pay less attention to this deficiency. We aim is to compare the
Xueying Xu   +5 more
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

A Comparative Evaluation of Imputation Techniques for Missing Data: A Simulation-Based Analysis

open access: yesComputing&AI Connect
Missing data are a common occurrence in research and, if not appropriately addressed prior to analysis, may compromise the validity of study findings.
Rahibu Abdalla Abassi   +1 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Imputation strategies when a continuous outcome is to be dichotomized for responder analysis: a simulation study

open access: yesBMC Medical Research Methodology, 2019
Background In many clinical trials continuous outcomes are dichotomized to compare proportions of patients who respond. A common and recommended approach to handling missing data in responder analysis is to impute as non-responders, despite known biases.
Lysbeth Floden, Melanie L. Bell
doaj   +1 more source

A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data

open access: yesBMC Bioinformatics, 2020
Background Single-cell RNA sequencing (scRNA-seq) provides an effective tool to investigate the transcriptomic characteristics at the single-cell resolution.
Yang Qi   +3 more
doaj   +1 more source

A comprehensive evaluation of factors affecting the accuracy of pig genotype imputation using a single or multi-breed reference population

open access: yesJournal of Integrative Agriculture, 2022
Genotype imputation has become an indispensable part of genomic data analysis. In recent years, imputation based on a multi-breed reference population has received more attention, but the relevant studies are scarce in pigs.
Kai-li ZHANG   +8 more
doaj   +1 more source

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

open access: yesFEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt   +8 more
wiley   +1 more source

Multiple imputation for estimation of an occurrence rate in cohorts with attrition and discrete follow-up time points: a simulation study

open access: yesBMC Medical Research Methodology, 2010
Background In longitudinal cohort studies, subjects may be lost to follow-up at any time during the study. This leads to attrition and thus to a risk of inaccurate and biased estimations.
Soullier Noémie   +2 more
doaj   +1 more source

Evaluation of Odor Prediction Model Performance and Variable Importance according to Various Missing Imputation Methods

open access: yesApplied Sciences, 2022
The aim of this study is to ascertain the most suitable model for predicting complex odors using odor substance data that has a small number of data and a large number of missing data.
Do-Hyun Lee   +3 more
doaj   +1 more source

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