Results 41 to 50 of about 4,270,888 (278)
Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism
The aim of cognitive diagnosis is to classify respondents' mastery status of latent attributes from their responses on multiple items. Since respondents may answer some but not all items, item-level missing data often occur.
Na Shan +3 more
doaj +1 more source
Identifying research priorities for effective retention strategies in clinical trials
Background The failure to retain patients or collect primary-outcome data is a common challenge for trials and reduces the statistical power and potentially introduces bias into the analysis. Identifying strategies to minimise missing data was the second
Anna Kearney +7 more
doaj +1 more source
Recursive kernel density estimators under missing data
In this paper we propose an automatic bandwidth selection of the recursive kernel density estimators with missing data in the context of global and local density estimation.
Slaoui, Yousri
core +3 more sources
Missing observation analysis for matrix-variate time series data [PDF]
Bayesian inference is developed for matrix-variate dynamic linear models (MV-DLMs), in order to allow missing observation analysis, of any sub-vector or sub-matrix of the observation time series matrix.
Triantafyllopoulos, K.
core +3 more sources
Missing Categorical Data Imputation and Individual Observation Level Imputation
Traditional missing data techniques of imputation schemes focus on prediction of the missing value based on other observed values. In the case of continuous missing data the imputation of missing values often focuses on regression models.
Pavel Zimmermann +2 more
doaj +1 more source
Data-Driven Method for Missing Harmonic Data Completion
In large-scale applications, missing harmonic data during transmission is inevitable. This paper presents a novel approach for the completion of missing harmonic data based on a data-driven approach.
Rui Xu +4 more
doaj +1 more source
A Tensor-Based Method for Completion of Missing Electromyography Data
This paper discusses the recovery of missing data in surface electromyography (sEMG) signals that arise during the acquisition process. Missing values in the EMG signals occur due to either the disconnection of electrodes, artifacts and muscle fatigue or
Muhammad Akmal +4 more
doaj +1 more source
Missing.... presumed at random: cost-analysis of incomplete data [PDF]
When collecting patient-level resource use data for statistical analysis, for some patients and in some categories of resource use, the required count will not be observed. Although this problem must arise in most reported economic evaluations containing
Bang +31 more
core +2 more sources
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source

