Bronchoscopic Management of Prolonged Air Leaks With Endobronchial Valves in a Veteran Population
Sign Up to like & getrecommendations! Published in 2017 at "JAMA Surgery"
DOI: 10.1001/jamasurg.2016.3195
Abstract: the proportion of missing data for 5 of the 11 comorbidity variables included within the mFI increased over time. Specifically, the variables “history of myocardial infarction,” “history of percutaneous intervention, coronary stenting or cardiac surgery,”… read more here.
Keywords: management prolonged; bronchoscopic management; prolonged air; history ... See more keywords
Handling multi‐rate and missing data in variable duration economic model predictive control of batch processes
Sign Up to like & getrecommendations! Published in 2017 at "Aiche Journal"
DOI: 10.1002/aic.15619
Abstract: In the present work we consider the problem of variable duration economic model predictive control (EMPC) of batch processes subject to multi-rate and missing data. To this end, we first generalize a recently developed subspace-based… read more here.
Keywords: missing data; rate missing; batch processes; model ... See more keywords
Nuisance mediators and missing data in mediation analyses of pain trials
Sign Up to like & getrecommendations! Published in 2020 at "European Journal of Pain"
DOI: 10.1002/ejp.1637
Abstract: This journal recently published a paper by O'Neill and colleagues, entitled "Examining what factors mediate treatment effect in chronic low back pain: a mediation analysis of a Cognitive Functional Therapy clinical trial” (O’Neill, O’Sullivan, O’Sullivan,… read more here.
Keywords: data mediation; mediators missing; nuisance mediators; mediation ... See more keywords
Space‐time autoregressive estimation and prediction with missing data based on Kalman filtering
Sign Up to like & getrecommendations! Published in 2020 at "Environmetrics"
DOI: 10.1002/env.2627
Abstract: We propose a Kalman filter algorithm to provide a formal statistical analysis of space‐time data with an autoregressive structure in time. The Kalman filter technique allows to capture the temporal dependence as well as the… read more here.
Keywords: estimation prediction; space; kalman; space time ... See more keywords
Recovery of missing data in partial geometry PET scanners: Compensation in projection space vs image space
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.13225
Abstract: PURPOSE Robust and reliable reconstruction of images from noisy and incomplete projection data holds significant potential for proliferation of cost-effective medical imaging technologies. Since conventional reconstruction techniques can generate severe artifacts in the recovered images,… read more here.
Keywords: gap; image; space; geometry ... See more keywords
Assessing reproducibility of high-throughput experiments in the case of missing data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9334
Abstract: High-throughput experiments are an essential part of modern biological and biomedical research. The outcomes of high-throughput biological experiments often have a lot of missing observations due to signals below detection levels. For example, most single-cell… read more here.
Keywords: reproducibility; throughput experiments; high throughput; missing data ... See more keywords
Longitudinal self-learning of individualized treatment rules in a nutrient supplementation trial with missing data.
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in medicine"
DOI: 10.1002/sim.9766
Abstract: Longitudinal outcomes are prevalent in clinical studies, where the presence of missing data may make the statistical learning of individualized treatment rules (ITRs) a much more challenging task. We analyzed a longitudinal calcium supplementation trial… read more here.
Keywords: supplementation; learning individualized; individualized treatment; self learning ... See more keywords
An adapted vector autoregressive expectation maximization imputation algorithm for climate data networks
Sign Up to like & getrecommendations! Published in 2019 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.1494
Abstract: Missingness in historical climate data networks is a pervasive phenomenon due to the conditions under which these measurements are made. Accurate estimation of these data is a critical issue as projections of future climate depend… read more here.
Keywords: climate; historical climate; imputation; climate data ... See more keywords
Block tensor train decomposition for missing data estimation
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Papers"
DOI: 10.1007/s00362-018-1043-8
Abstract: We propose a method for imputation of missing values in large scale matrix data based on a low-rank tensor approximation technique called the block tensor train (BTT) decomposition. Given sparsely observed data points, the proposed… read more here.
Keywords: tensor train; tensor; block tensor; method ... See more keywords
Filling missing data and smoothing altered data in satellite imagery with a spatial functional procedure
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-019-01711-0
Abstract: Outliers and missing data are commonly found in satellite imagery. These are usually caused by atmospheric or electronic failures, hampering the correct monitoring of remote-sensing data. To avoid distorted data, we propose a procedure called… read more here.
Keywords: spatial functional; procedure; remote sensing; missing data ... See more keywords
Completion of multiview missing data based on multi-manifold regularised non-negative matrix factorisation
Sign Up to like & getrecommendations! Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09824-7
Abstract: In multi-source data analysis, the absence of data values or attributes is inevitably brought about by various influencing factors including environment, which results in the loss of knowledge to be conveyed by data. To solve… read more here.
Keywords: completion; multiview; multi manifold; non negative ... See more keywords