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
Longer time series with missing data improve parameter estimation in a state-space model in coral reef fish communities.
Sign Up to like & getrecommendations! Published in 2025 at "Ecology"
DOI: 10.1002/ecy.70270
Abstract: Analysis of time series data is fundamental in ecology for understanding community dynamics, and the mechanisms driving such dynamics. However, ecological time series commonly contain missing values, which can arise due to methodological changes in… read more here.
Keywords: state space; time series; time; missing data ... 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
Latent space reconstruction for missing data problems in CT
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17910
Abstract: The reconstruction of a computed tomography (CT) image can be compromised by artifacts, which, in many cases, reduce the diagnostic value of the image. These artifacts often result from missing or corrupt regions in the… read more here.
Keywords: reconstruction; missing data; reconstruction missing; space reconstruction ... See more keywords
Adjusting for Selection Bias Due to Missing Data in Electronic Health Records‐Based Research by Blending Multiple Imputation and Inverse Probability Weighting
Sign Up to like & getrecommendations! Published in 2025 at "Statistics in Medicine"
DOI: 10.1002/sim.70151
Abstract: Due to the complex process by which electronic health records (EHR) are generated and collected, missing data is a significant challenge when conducting large observational studies using such data. However, most standard methods that seek… read more here.
Keywords: inverse probability; electronic health; missing data; selection bias ... See more keywords
Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data.
Sign Up to like & getrecommendations! Published in 2025 at "Statistics in medicine"
DOI: 10.1002/sim.70335
Abstract: Despite advancements in healthcare data management, missing data in electronic health records (EHR) and patient‐reported outcomes remain a persistent challenge, limiting their usability in healthcare analytics. Conventional imputation methods often struggle to capture complex nonlinear… read more here.
Keywords: missing data; informed shared; shared structure; healthcare data ... 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